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» Providing Justifications in Recommender Systems
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PERVASIVE
2005
Springer
14 years 1 months ago
Product Reviews in Mobile Decision Aid Systems
Recommender systems provide decision aid and information filtering functions that have a great potential application in the mobile context. An aspect which has not been extensive...
René T. A. Wietsma, Francesco Ricci
ADBIS
2009
Springer
170views Database» more  ADBIS 2009»
14 years 2 months ago
Shall I Trust a Recommendation? Towards an Evaluation of the Trustworthiness of Recommender Sites
We present a preliminary study the aim of which is to provide a high level model for the evaluation of the trustworthiness of recommender systems as e-commerce services. We identif...
Gabriele Lenzini, Ynze van Houten, Wolf Huijsen, M...
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
ADAPTIVE
2007
Springer
14 years 1 months ago
Case-Based Recommendation
Abstract. Data Mining, or Knowledge Discovery as it is also known, is becoming increasingly useful in a wide variety of applications. In the following paper, we look at its use in ...
Barry Smyth
WINE
2009
Springer
151views Economy» more  WINE 2009»
14 years 4 days ago
Consistent Continuous Trust-Based Recommendation Systems
Abstract. The goal of a trust-based recommendation system is to generate personalized recommendations from known opinions and trust relationships. Prior work introduced the axiomat...
Ola Rozenfeld, Moshe Tennenholtz