Himan Abdollahpouri

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A core value in recommender systems is personalization, the idea that the recommendations produced are those that match the user's preferences. However, in many real-world recommendation contexts, the concerns of additional stake-holders may come into play, such as the producers of items or those of the system owner. Some researchers have examined special(More)
Collaborative filtering (CF) recommender systems are typically unable to generate adequate recommendations in sparse datasets. Empirical evidence suggests that incorporation of a trust network among the users of a recommender system can significantly help to alleviate this problem. For this reason, some studies have been done on combining CF with(More)
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