Improving collaborative recommendation of coupons through digital TV by semantic inference of users' reputation
Recommender systems have proven to be an effective response to the information overload problem, by identifying items the users may be interested in. Trust and reputation are being increasingly incorporated in collaborative recommender systems in order to improve their accuracy and reliability, usin...
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Veröffentlicht in: | IEEE transactions on consumer electronics 2011-02, Vol.57 (1), p.178-186 |
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