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SIGIR
2009
ACM
15 years 4 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
CIKM
2010
Springer
14 years 8 months ago
A structured approach to query recommendation with social annotation data
Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping us...
Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen
72
Voted
WWW
2001
ACM
15 years 10 months ago
Building a Lifestyle Recommender System
Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. He...
Supiya Ujjin, Peter J. Bentley
EWMF
2003
Springer
15 years 3 months ago
Greedy Recommending Is Not Always Optimal
Abstract. Recommender systems suggest objects to users. One form recommends documents or other objects to users searching information on a web site. A recommender system can be use...
Maarten van Someren, Vera Hollink, Stephan ten Hag...
WWW
2009
ACM
15 years 11 months ago
Retaining personal expression for social search
Web is being extensively used for personal expression, which includes ratings, reviews, recommendations, blogs. This user created content, e.g. book review on Amazon.com, becomes ...
Praphul Chandra, Ajay Gupta