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» Sentiment Summarization: Evaluating and Learning User Prefer...
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131
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SIGIR
2010
ACM
15 years 7 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
AH
2000
Springer
15 years 8 months ago
Case-Based User Profiling for Content Personalisation
As it stands the Internet’s “one size fits all” approach to information retrieval presents the average user with a serious information overload problem. Adaptive hypermedia s...
Keith Bradley, Rachael Rafter, Barry Smyth
173
Voted
WWW
2010
ACM
15 years 10 months ago
Privacy wizards for social networking sites
Privacy is an enormous problem in online social networking sites. While sites such as Facebook allow users fine-grained control over who can see their profiles, it is difficult ...
Lujun Fang, Kristen LeFevre
128
Voted
SG
2007
Springer
15 years 9 months ago
Correlating Text and Images: Concept and Evaluation
This paper presents the concept and an evaluation of a novel approach to support students to understand complex spatial relations and to learn unknown terms of a domain-specific t...
Timo Götzelmann, Pere-Pau Vázquez, Knu...
133
Voted
AAAI
2006
15 years 5 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek