Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling

With the rapid growth of social tagging systems, many efforts have been put on tag-aware personalized recommendation. However, due to uncontrolled vocabularies, social tags are usually redundant, sparse, and ambiguous. In this paper, we propose a deep neural network approach to solve this problem by...

Полное описание

Библиографические подробности
Главные авторы:	Xu, Z, Chen, C, Lukasiewicz, T, Miao, Y, Meng, X
Формат:	Conference item
Опубликовано:	Association for Computing Machinery 2016

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