Apr 2, 2022 · We present experimental results showing that enhancing collaborative filtering with Transformer-based features derived from content-based ...
Abstract. Knowledge graph (KG) based Collaborative Filtering (CF) is an effective approach to personalize recommender systems.
We present experimental results showing that enhancing collaborative filtering with Transformer-based features derived from content-based filtering outperforms ...
Weizhe Lin Linjun Shou Ming Gong (disambiguation) Jian Pei Zhilin Wang Daxin Jiang William J. Byrne. Transformer-Empowered Content-Aware Collaborative ...
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets ... 9min. Transformer-Empowered Content-Aware Collaborative Filtering Weizhe Lin ...
合著作者 ; Transformer-Empowered Content-Aware Collaborative Filtering. W Lin, L Shou, M Gong, P Jian, Z Wang, B Byrne, D Jiang. arXiv preprint arXiv:2204.00849, ...
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Knowledge graph (KG) based Collaborative Filtering is an effective approach to personalizing recommendation systems for relatively static domains such as movies ...
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering · Transformer-Empowered Content-Aware Collaborative Filtering · FVQA 2.0: ...
Transformer-Empowered Content-Aware Collaborative Filtering. In Proceedings of the RecSys 2022: Fourth Knowledge-aware and Conversational Recommender ...
Transformer-Empowered Content-Aware Collaborative Filtering. W Lin, L Shou, M ... Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets ...