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» Social Networks as Data Source for Recommendation Systems
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HT
2003
ACM
15 years 5 months ago
"Common" web paths in a group adaptive system
In this paper we describe how we use a group of users’ accesses and interactions with web pages to discover and recommend relevant common navigation paths to other users. We col...
Maria Barra, Delfina Malandrino, Vittorio Scarano
SOCIALCOM
2010
14 years 9 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
DEBU
2008
187views more  DEBU 2008»
14 years 12 months ago
Social SQL: Tools for Exploring Social Databases
Social media are constructed from the collective contributions of potentially millions of individuals and present an increasingly common and large scale form of database. As these...
Marc A. Smith, Vladimir Barash
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 5 days ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
CIKM
2009
Springer
15 years 6 months ago
Hydra: a hybrid recommender system [cross-linked rating and content information]
This paper discusses the combination of collaborative and contentbased filtering in the context of web-based recommender systems. In particular, we link the well-known MovieLens ...
Stephan Spiegel, Jérôme Kunegis, Fang...