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» Improving recommendation lists through topic diversification
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WWW
2005
ACM
10 years 8 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»
9 years 9 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...
AIIA
2015
Springer
4 years 3 months ago
Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality
The influence of emotions in decision making is a popular research topic in psychology and cognitive studies. A person facing a choosing problem has to consider different solutio...
Marco Polignano, Marco de Gemmis
HICSS
2008
IEEE
111views Biometrics» more  HICSS 2008»
10 years 2 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
9 years 9 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 ...
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