Sciweavers

399 search results - page 37 / 80
» Query and Document Models for Enterprise Search
Sort
View
WWW
2011
ACM
14 years 5 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 6 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
15 years 4 months ago
Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
Edgar Meij, Maarten de Rijke
SIGIR
2011
ACM
14 years 1 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
SIGIR
2006
ACM
15 years 4 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...