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IEEECIT
2010
IEEE
13 years 6 months ago
A P2P REcommender System based on Gossip Overlays (PREGO)
—Gossip-based Peer-to-Peer protocols proved to be very efficient for supporting dynamic and complex information exchange among distributed peers. They are useful for building an...
Matteo Mordacchini, Ranieri Baraglia, Patrizio Daz...
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 7 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
EWCBR
1998
Springer
13 years 11 months ago
WWW Assisted Browsing by Reusing Past Navigations of a Group of Users
In this paper, we present our case-based browsing advisor for the Web, called BROADWAY. BROADWAY follows a group of users during their navigations and supports an indirect collabor...
Michel Jaczynski, Brigitte Trousse
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 7 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings