Zobrazeno 1 - 5
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pro vyhledávání: '"Tao, Lian"'
Publikováno v:
Frontiers of Computer Science. 14
Matrix factorization (MF) methods have superior recommendation performance and are flexible to incorporate other side information, but it is hard for humans to interpret the derived latent factors. Recently, the item-item cooccurrence information is
Publikováno v:
Multimedia Tools and Applications. 76:8831-8857
High quality tags play a critical role in applications involving online multimedia search, such as social image annotation, sharing and browsing. However, user-generated tags in real world are often imprecise and incomplete to describe the image cont
Publikováno v:
CIKM
Given e-commerce scenarios that user profiles are invisible, session-based recommendation is proposed to generate recommendation results from short sessions. Previous work only considers the user's sequential behavior in the current session, whereas
Publikováno v:
ACM Multimedia
User-generated tags associated with social images are frequently imprecise and incomplete. Therefore, a fundamental challenge in tag-based applications is the problem of tag relevance estimation, which concerns how to interpret and quantify the relev
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
The selective attention for machine vision can reduce the complexity of calculation. This paper adapted entropy as a measurement to the salience of interested object region and proposed a new computational model of attention selection. Analysis prove