Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Aslanyan, Tatev Karen"'
Publikováno v:
The 36th ACM/SIGAPP Symposium on Applied Computing (SAC '21), March 22--26, 2021, Virtual Event, Republic of Korea
Most of the existing recommender systems are based only on the rating data, and they ignore other sources of information that might increase the quality of recommendations, such as textual reviews, or user and item characteristics. Moreover, the majo
Externí odkaz:
http://arxiv.org/abs/2111.08538
