507 search results - page 61 / 102 » Trust-based collaborative filtering |
100
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CISS
2008
IEEE
2008
IEEE
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
15 years 8 months ago
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
119
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RIAO
1997
15 years 3 months ago
1997
The Web is a vast, dynamic source of information and resources. Because of its size and diversity, it is increasingly likely that if the information one seeks is not already there...
110
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
128
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
118
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WMC
2001
15 years 3 months ago
2001
With the increasing number of mobile commerce facilities, there are challenges in providing customers useful recommendations about interesting products and services. In this paper...