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» A Personalized System for Conversational Recommendations
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RECSYS
2010
ACM
13 years 9 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
AH
2008
Springer
14 years 3 months ago
Accuracy in Rating and Recommending Item Features
This paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfa...
Lloyd Rutledge, Natalia Stash, Yiwen Wang, Lora Ar...
CSCW
2012
ACM
12 years 4 months ago
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization
Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely...
Reid Priedhorsky, David Pitchford, Shilad Sen, Lor...
WWW
2005
ACM
14 years 9 months ago
AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contents by semantic Reasoning) is presented. This tool uses the experience gained in ...
Yolanda Blanco-Fernández, José J. Pa...
FLAIRS
2006
13 years 10 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...