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Search and information retrieval

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On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

ICRA 2024 conference recap blog - RASCAL library

RASCAL: Novel robotics for scalable and highly available automated storage and retrieval

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

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Pan-private algorithms via statistics on sketches

Darakhshan Mir, S. Muthukrishnan, Aleksandar Nikolov, Rebecca N. Wright

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2011, June 12-16, 2011, Athens, Greece | May 2011

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2011, June 12-16, 2011, Athens, Greece

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Enron Stimuli for Text-Entry Experiments

This download contains sets of 10, 20, 50, 100, 200, and 500 representative phrases from the Enron corpus. The phrases contain four words. The original Enron data source comes from a data set collected and…

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Design and Analysis of Large Scale Log Studies

Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan

CHI 2011 (Course) | May 2011

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Learning a robust relevance model for search using kernel methods

Wei Wu, Jun Xu, Hang Li, Satoshi Oyama, Wei Wu

Journal of Machine Learning Research (JMLR) | May 2011, Vol 12

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Augmenting Web Pages and Search Results to Support Credibility Assessment

Julia Schwarz, Meredith Ringel Morris

ACM Conference on Computer-Human Interaction | May 2011

Publication

Attitudes about Institutional Archiving of Social Media

Cathy Marshall

Proceedings of Archiving 2011 | May 2011

Proceedings of Archiving 2011

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Efficient Document Clustering via Online Nonnegative Matrix Factorizations

Fei Wang, Chenhao Tan, Arnd Christian König, Ping Li

Eleventh SIAM International Conference on Data Mining | April 2011

Eleventh SIAM International Conference on Data Mining

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AdaRank

The basic idea of AdaRank is constructing “weak rankers” repeatedly based on reweighted training queries and linearly combining the weak rankers for making ranking predictions. In learning, AdaRank minimizes a loss function directly defined on…

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Contextual Video Recommendation by Multimodal Relevance and User Feedback

Tao Mei, Bo Yang, Xian-Sheng Hua

ACM Transactions on Information Systems | April 2011

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Interval-Based Pruning for Top-k Processing over Compressed Lists

Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti

ICDE Conference | April 2011

ICDE Conference

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