Community Structures in Recommender Systems
نویسنده
چکیده
In the age of information overload, recommender systems help users to find what they like, but in return they can affect users interests. Recommender systems can narrow users options to a limited community of items or informations. Our goal is to develop tools to investigate the effect of recommender systems on the social networks. Netflix Prize winner algorithm is an example of good recommender system to be studied. Netflix Prize winner is built based on the combination of three different contributions. We explain one of the major contributions involved in the winner algorithm. Community detection algorithms and clustering functions provide a powerful tool to analyse effect of recommender systems on the networks. Community detection algorithms literature are briefly surveyed in this report. We should note that clustering functions have limitations in the detection of clusters. Finally, an inherent contradiction between properties that we expect intuitively from clustering functions is stated and proved.
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