Sciweavers

478 search results - page 7 / 96
» Recommending based on rating frequencies
Sort
View
WECWIS
2006
IEEE
161views ECommerce» more  WECWIS 2006»
14 years 2 months ago
Better control on recommender systems
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recomm...
Esma Aïmeur, Flavien Serge Mani Onana
EWCBR
2000
Springer
14 years 4 days ago
A Case-Based Reasoning Approach to Collaborative Filtering
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
Robin D. Burke
WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
14 years 1 months ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
TSMC
2008
109views more  TSMC 2008»
13 years 8 months ago
Providing Justifications in Recommender Systems
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
CIKM
2011
Springer
12 years 8 months ago
ReDRIVE: result-driven database exploration through recommendations
Typically, users interact with database systems by formulating queries. However, many times users do not have a clear understanding of their information needs or the exact content...
Marina Drosou, Evaggelia Pitoura