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Search and information retrieval

two sets of chat boxes with likes and dislikes

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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Publication

Federated Search

Milad Shokouhi, Luo Si

January 2011 | Federated Search edition

Publication

Allocating inverted index into flash memory for search engines (abstract only)

Bojun Huang, Zenglin Xia

Proceedings of the 20th international conference on World Wide Web (WWW) | January 2011

ISBN: 978-1-4503-0637-9

Publication

On Dimensionality Reduction of Massive Graphs for Indexing and Retrieval

Charu Aggarwal, Haixun Wang

the 26th International Conference on Data Engineering (ICDE) | January 2011

Publication

Learning travel recommendations from user-generated GPS traces

Yu Zheng, Xing Xie

ACM Transaction on Intelligent Systems and Technology | January 2011

Access Project Project Project

Tool

Pivot is an experimental application for exploring large data sets with smooth visual interactions. The application originally was released by Microsoft Live Labs in October 2009, and it is being re-released by Microsoft Research to…

Access

Publication

Learning a Bi-Stochastic Data Similarity Matrix

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

The 10th International Conference on Data Mining (ICDM) | December 2010

Project

Publication

Similarity Models for Ad Relevance Measures

Scott Wen-tau Yih, Ning Jiang

NIPS Workshop: Machine Learning in Online Advertising (MLOAD 2010) | December 2010

Publication

b-Bit Minwise Hashing for Estimating Three-Way Similarities

Ping Li, Arnd Christian König, Wenhao Gui

Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS) | December 2010

Project

Publication

Enriching Textbooks Through Data Mining

Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu

ACM Symposium on Computing for Development (ACM DEV) | December 2010

Publication

Learning to Rank on a Cluster using Boosted Decision Trees

Krysta M. Svore, Chris J.C. Burges

Learning to Rank on Cores, Clusters, and Clouds Workshop at NIPS 2010 | December 2010

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Search and information retrieval

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