The Best Student Paper is presented to the author of the best paper written solely or primarily by a student. These awards are only given in years, where the Best Paper award is not student-authored.
|Dynamic Modality Interaction Modeling for Image-Text Retrieval|
Maarten de Rijke
|A Context-aware Time Model for Web Search|
|Sequential Testing for Early Stopping of Online Experiments
For a paper that extends sequential statistical testing procedures by adjusting stopping thresholds based on observed log data, and demonstrates how this significantly reduce the time required for online A/B and interleaving experiments.
|Towards better measurement of attention and satisfaction in mobile search
For a paper that addresses the problem of no clicks in answer-like mobile search, demonstrating viewport, measurable at large-scale, as a strong and reliable signal of the quality of a search result, through carefully designed experimentation.
Paul N. Bennett
|Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search
For a paper that addresses the role that search has within a user’s whole information-seeking session, identifying signals in a user’s search session which can help to promote diversity in the results of web search.
|Top-k learning to rank: labeling, ranking and evaluation
Selected for proposing a novel top-k labeling strategy for efficiently obtaining labeled data for learning to rank in information retrieval and proposing a novel learning to rank method to effectively learn from such a new form of relevance judgments.
Alexander J. Smola
|Collaborative Competitive Filtering: Learning Recommender using Context of User Choice|
Joemon M. Jose
|A Comparison of General vs. Personalized Affective Models for the Prediction of Topical Relevance|
|Sources of evidence for vertical selection|
|BrowseRank: Letting Web Users Vote for Page Importance|
|Relaxed online Support Vector Machines for spam filtering|
|Minimal Test Collections for Retrieval Evaluation|
|A Markov random field model for term dependencies|
|A Formal Study of Information Retrieval Heuristics|
|Quantitative evaluation of passage retrieval algorithms for question answering|
|Novelty and redundancy detection in adaptive filtering|
|Applying Summarization Techniques for Term Selection in Relevance Feedback|
|2000||Ilmerio Reis da Silva
|Link-based and content-based evidential information in a belief network model.|
|1999||Owen de Kretser
|Efficient document presentation with a locality-based similarity heuristic|
|New techniques for open-vocabulary spoken document retrieval|
|Phrasal translation and query expansion techniques for cross-language information retrieval|
|Pivoted length document normalization|
|A comparison of classifiers and document representations for the routing problem.|
|Fast evaluation of structured queries for information retrieval.|
|Topic Modeling for Short Texts with Auxiliary Word Embeddings|