Towards scalable and accurate item-oriented recommendations

RecSys, pp. 419-422, 2013.

Cited by: 44|Bibtex|Views69|DOI:https://doi.org/10.1145/2507157.2507208
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Most recommenders research aims at personalized systems, which suggest items based on user profiles. However, in reality many systems deal with item-oriented recommendations. In such setups, given a single item of interest, the system needs to provide other related items, following patterns like "people who liked this also liked...". Whil...More

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