Collaborative recommender systems suggest items each user may like or find useful basing on the preferences of other like-minded individuals.

Abstract. Collaborative recommender systems suggest items each user may like or find useful basing on the preferences of other like-minded individuals.

Collaborative recommender systems suggest items each user may like or find useful basing on the preferences of other like-minded individuals.

Dec 30, 2021 · This study introduces a CF approach for improving the recommendation performance that involves two main parts—A) presenting an implicit-trust- ...

In this paper, we apply a semantic approach to build implicit trust networks and, thereby, improve the recommendation results transparently to the users.

Implicit trust networks: A semantic approach to improve collaborative recommendations. 20/09/2023. atlanTTic - Universidade de Vigo. Igualdade UVigo HR ...

Universidade de Vigo ; Publisher · Springer Alemania ; ISBN · 9783642256936 ; Year of publication · 2012 ; Pages · 107-119 ; Type · Book chapter.

On the one hand, we automatically build implicit trust networks in order to incorporate trust and reputation in the selection of the set of like-minded users ...

In this paper, we apply a semantic approach to automatically build implicit trust networks and, thereby, improve the recommendation results transparently to the ...

Highlights •Introducing a novel improved-CF approach.•Providing a novel model for implicitly constructing a trust-network.•Presenting a new method to ...