Zobrazeno 1 - 4
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pro vyhledávání: '"Jin, Cihang"'
Autor:
Qiao, Xiangshuo, Li, Xianxin, Qu, Xiaozhe, Zhang, Jie, Liu, Yang, Luo, Yu, Jin, Cihang, Ma, Jin
Vision-Language Models pre-trained on large-scale image-text datasets have shown superior performance in downstream tasks such as image retrieval. Most of the images for pre-training are presented in the form of open domain common-sense visual elemen
Externí odkaz:
http://arxiv.org/abs/2401.10475
Autor:
Wang, Fan, Fang, Xiaomin, Liu, Lihang, Chen, Yaxue, Tao, Jiucheng, Peng, Zhiming, Jin, Cihang, Tian, Hao
In the combinatorial recommender systems, multiple items are fed to the user at one time in the result page, where the correlations among the items have impact on the user behavior. In this work, we model the combinatorial recommendation as the probl
Externí odkaz:
http://arxiv.org/abs/1902.00245
In this paper, we determine the appropriate decay function for item-based collaborative filtering (CF). Instead of intuitive deduction, we introduce the Similarity-Signal-to-Noise-Ratio (SSNR) to quantify the impacts of rated items on current recomme
Externí odkaz:
http://arxiv.org/abs/1010.3988
Publikováno v:
Proceedings of the Workshop: Context-aware Movie Recommendation; 9/30/2010, p41-44, 4p
