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» Improving recommendation lists through topic diversification
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WWW
2005
ACM
14 years 4 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
I3E
2008
234views Business» more  I3E 2008»
13 years 5 months ago
Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu...
HICSS
2008
IEEE
111views Biometrics» more  HICSS 2008»
13 years 10 months ago
Smarter Blogroll: An Exploration of Social Topic Extraction for Manageable Blogrolls
The already huge number of blogs in existence is increasing rapidly, and many users are struggling to find a way to keep up with the expansion. A number of existing tools aim to c...
Eric Baumer, Danyel Fisher
CLEF
2008
Springer
13 years 6 months ago
On the Evaluation of Snippet Selection for WebCLEF
WebCLEF is about supporting a user who is an expert in writing a survey article on a specific topic with a clear goal and audience by generating a ranked list with relevant snippet...
Arnold Overwijk, Dong Nguyen, Claudia Hauff, Dolf ...
EGOV
2010
Springer
13 years 5 months ago
A Fuzzy Recommender System for eElections
Abstract. eDemocracy aims to increase participation of citizens in democratic processes through the use of information and communication technologies. In this paper, an architectur...
Luis Terán, Andreas Meier