Ratings Data

• Collaborative Prediction and Ranking with Non-Random Missing Data
• Missing Data Problems in Machine Learning
• Collaborative Filtering and the Missing at Random Assumption
• Heterogeneous Source Consensus Learning via Decision Propagation and Negotiation
• Visualizing head-to-tail affinities in large networks
• Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
• Item Weighting Techniques for Collaborative Filtering
• Finding Similar Music Artists for Recommendation
• Rating music: Accounting for rating preferences
• A Framework for Multi-objective Clustering and its Application to Co-location Mining
• Asking Questions and Developing Trust
• Online Selection of Mediated and Domain-Specific Predictions for Improved Recommender Systems
• "All roads lead to Rome": optimistic recovery for distributed iterative data processing
• Distributed matrix factorization with mapreduce using a series of broadcast-joins
• Scalable similarity-based neighborhood methods with MapReduce
• Explore-Exploit in Top-N Recommender Systems via Gaussian Processes
• Discovering Valuable Items from Massive Data
• Neural Semantic Personalized Ranking for item cold-start recommendation

Advertising and Marketing Data

• Strategic Bidder Behavior in Sponsored Search Auctions
• Comparing Dierent Yahoo Sponsored Search Auctions: A Regression Discontinuity Design Approach
• Equilibrium Bids in Sponsored Search Auctions: Theory and Evidence
• The Effects of Bid-Pulsing on Keyword Performance in Search Engines
• An Empirical Analysis of Return on Investment Maximization in Sponsored Search Auctions
• The Impact of Competing Ads on Click Performance in Sponsored Search
• Influence of Externality on Number of Ads Per Page in Online Advertising

Graph Data

• Internet advertising and the generalized second price auction.
• Report on the Second KDD Workshop on Data Mining for Advertising
• Fixing two weaknesses of the Spectral Method
• Statistical Properties of Community Structure in Large Social and Information Networks
• Constructing and Testing Privacy-Aware Services in a Cloud Computing Environment – Challenges and Opportunities (Invited Paper)
• Affinity in Distributed Systems
• Who are You Talking to? Breaching Privacy in Encrypted IM Networks
• Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph

Language Data

• Inferring the Most Important Types of a Query: a Semantic Approach
• Ranking Very Many Typed Entities on Wikipedia
• ClueWeb09 dataset
• Learning to Rank Answers on Large Online QA Collections
• Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
• Evaluating and Predicting Answer Quality in Community QA
• Ranked accuracy and unstructured distributed search
• A deniable and efficient question and answer service over ad hoc social networks
• Foraging patterns in online searches
• A Comparative Study of the Quality between Formality Style Transfer of Sentences in Swedish and English, leveraging the BERT model

Competition Data

• Web-Search Ranking with Initialized Gradient Boosted Regression Trees
• Anytime Representation Learning
• Cost-Sensitive Tree of Classifiers
• The Greedy Miser: Learning under Test-time Budgets
• Classifier Cascade for Minimizing Feature Evaluation Cost

Image Data

• A Poodle or a Dog? Evaluating Automatic Image Annotation Using Human Descriptions at Different Levels of Granularity

Computing Systems Data

• Design of a Large-Scale Anomaly Detection Algorithm for Time Series in the context of Wireless Network Operations
• A simple method for unsupervised anomaly detection: An application to Web time series data