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» Market-Based Recommender Systems: Learning Users' Interests ...
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WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
13 years 10 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
ECAI
2010
Springer
13 years 2 months ago
Social Recommendation with Interpersonal Influence
Social recommendation, that an individual recommends an item to another, has gained popularity and success in web applications such as online sharing and shopping services. It is l...
Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Sh...
RECSYS
2009
ACM
13 years 11 months ago
Learning to recommend with trust and distrust relationships
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
Hao Ma, Michael R. Lyu, Irwin King
ICPPW
2002
IEEE
13 years 9 months ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
ATAL
2005
Springer
13 years 10 months ago
Implicit: an agent-based recommendation system for web search
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...