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FLAIRS
2006
15 years 1 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...
BTW
2007
Springer
245views Database» more  BTW 2007»
15 years 6 months ago
From Personal Desktops to Personal Dataspaces: A Report on Building the iMeMex Personal Dataspace Management System
Abstract: We propose a new system that is able to handle the entire Personal Dataspace of a user. A Personal Dataspace includes all data pertaining to a user on all his disks and o...
Jens-Peter Dittrich, Lukas Blunschi, Markus Fä...
DSS
2008
133views more  DSS 2008»
14 years 11 months ago
A semantic-expansion approach to personalized knowledge recommendation
The rapid propagation of the Internet and information technologies has changed the nature of many industries. Fast response and personalized recommendations have become natural tr...
Ting-Peng Liang, Yung-Fang Yang, Deng-Neng Chen, Y...
TKDE
2012
236views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
IUI
2010
ACM
15 years 8 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...