KSC Submission

The 2012 Key Scientific Challenges Program application period is now closed. Thank you to everyone who applied. We are in the process of reviewing the applications and will announce the winners in early April.
If you have any questions about the application process please refer to our FAQs
or email ksc@yahoo-inc.com.

All fields are required.

First Name:: Please enter your first name.
Last Name:: Please enter your last name.
Email:: Please enter your email.
University:: Please select your university.
University Name:
Major:: Please enter your major.
Grad Date (DD-MM-YYYY):
Citizenship:: Please enter your graduation date.
Advisor Name:: Please enter your advisor's name.
Advisor Email:: Please enter your advisor's email.
: Please select at least one KSC Challenge.
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
KSC Area:
Challenges:: How do we build databases that can operate at Internet scale?

How can we build cloud data services?

How do we manage Social Data?; Mashing Up Large Structured Databases with the Web to Satisfy User Content Needs; Noisy Multimedia Data

Delivering Entertainment vs. Information

Combing Content and Metadata

Determining Multimedia Relevance

Wisdom of the Crowds for Multimedia

Long Content

Web-Scale Multimedia; Improved Ad Selection

Behavioral targeting and social network advertising

Advertiser experience

Cost of serving and scalability

Forecasting user visits; What are the effects of complexity in mechanism design?

Auction theory and matching theory offer models and algorithms for allocating goods or matching market participants.

Understanding when and how reputations emerge, and how to improve the designs of structured reputation systems.

How should a firm set posted prices for a menu of products?; Incentive-centered design

Internet monetization

Behavior in social networks

Modeling user attention

Algorithmic game theory and algorithmic mechanism design

Economic computations

Wisdom of crowds

Mixed Bayesian and worst-case optimization

Balancing expressiveness with automation

Integrating learning and allocation

Adversarial machine learning; Structure and evolution of social groups and networks

Decision making, social influence, diffusion, and collective decisions

Networking and collaborative problem solving; Internet Sociality

Conversational Media

The Mobile Internet

Internet Literacy and Creativity

Meaningful Instrumentation; Computational Limits of ML

Label complexity reduction methods

Nonstationary data

Learning to rank

Exploration

Structured Prediction Models for Information Extraction; Learning interactions to predict click-through rates from massive amounts of data

Sequential Methods

Time series, point process and survival analysis methods are important to learn the dynamic nature of many of our processes

Scalable statistical methods

Modeling massive social networks

Anomaly Detection

Collaborative filtering with cold-start; Modeling

Metrics

Mining

Multilingual IR

Using world knowledge; Publishing snapshots of user activity logs

Mining user activity logs

Tracking user locations privately; Distinguishing/isolating patterns of abusive activity from normal activity

Development of CAPTCHA- and CAPTCHA-like techniques for use as overt challenges or covert tests to distinguish automated bots from actual humans that are consuming a Yahoo! service

Identifying the presence of bots in service access and distinguishing bot-based access from normal access

Scalable and Integrated access control for users

Template Detection

Automated Phishing Detector

Passive Botnet Identification; How will innovations in computing such as cloud or virtualization affect future ICT energy consumption and greenhouse gas emissions?
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