Mining long-term search history to improve search accuracy

By Bin Tan, Xuehua Shen, Chengxiang Zhai. Knowledge Discovery and Data Mining, 2006

343 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, methodology): “It is based on MAP and precision at cutoff 5 in [106].”
Improving one-class collaborative filtering by incorporating rich user information (2010, background): “On the other hand, rich user information, such as search logs and clickthrough data has been reported to be able to improve the performance of personalized search in the ﬁeld of information retrieval [10, 2, 19, 22].”
A large-scale evaluation and analysis of personalized search strategies (2007, methodology): “The typical evaluation method used in existing personalized search research is to conduct user studies [23, 26, 6, 34, 28, 29, 19, 5, 31].”
Measuring personalization of web search (2013, background): “Personalized search has been extensively studied in the literature [29, 41–43, 48, 58, 61, 62].”
Measuring Price Discrimination and Steering on E-commerce Web Sites (2014, background): “Personalizing search results to improve Information Retrieval (IR) accuracy has been extensively studied in the literature [33, 42].”
Efficient multiple-click models in web search (2009, background): “…Carnegie Mellon University Microsoft Research Microsoft Research Pittsburgh, PA 15213 fanguo@cs.cmu.edu Redmond, WA 98052 chaoliu@microsoft.com Redmond, WA 98052 ymwang@microsoft.com ABSTRACT Many tasks that leverage web search users implicit feedback rely on a proper and unbiased…”