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IUI
2000
ACM
13 years 12 months ago
Mining navigation history for recommendation
Although a user’s navigation history contains a lot of hidden information about the relationship between web pages and between users, this information is usually not exploited. ...
Xiaobin Fu, Jay Budzik, Kristian J. Hammond
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
14 years 8 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
IJCAI
2007
13 years 9 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
UM
2010
Springer
13 years 11 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
IPM
2011
91views more  IPM 2011»
12 years 11 months ago
Measuring the interestingness of articles in a limited user environment
Abstract-Search engines, such as Google, assign scores to news articles based on their relevancy to a query. However, not all relevant articles for the query may be interesting to ...
Raymond K. Pon, Alfonso F. Cardenas, David Buttler...