MovieLens

MovieLens is a recommender system and virtual community website that recommends movies for its users to watch, based on their film preferences using… (More)
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Highly Cited
2015
Highly Cited
2015
The MovieLens datasets are widely used in education, research, and industry. They are downloaded hundreds of thousands of times… (More)
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2014
2014
Decisions are taken by humans very often during professional as well as leisure activities. It is particularly evident during… (More)
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2013
2013
Online systems where users purchase or collect items of some kind can be effectively represented by temporal bipartite networks… (More)
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2012
2012
Recommendation is an important research area that relies on the availability and quality of the data sets in order to make… (More)
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2012
2012
This paper studies the matrix factorization technique for recommendation systems. The problem is to modify and apply non-negative… (More)
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Highly Cited
2007
Highly Cited
2007
We design a field experiment to explore the use of social comparison to increase contributions to an online community. We find… (More)
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Highly Cited
2005
Highly Cited
2005
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We… (More)
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Highly Cited
2005
Highly Cited
2005
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set… (More)
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Highly Cited
2003
Highly Cited
2003
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same… (More)
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Highly Cited
2000
Highly Cited
2000
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