Self-Supervised Learning for Multimedia Recommendation
Zhulin Tao, Xiaohao Liu, Yewei Xia et al.
2022 · IEEE Transactions on Multimedia · 260 citations
Learning representations for multimedia content is critical for multimedia recommendation. Current representation learning methods roughly fall into two groups: (1) using the historical interactions to create ID embeddings of users and items, and (2) treating multi-modal data as the side information of items to enrich their ID embeddings. Each user-item interaction offers the supervisory signal to optimize the representation learning by the traditional supervised learning paradigm. Due to the overlook of the multi-modal patterns ($e.g.$, co-occurrence of visual, acoustic, textual features in…
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