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- [Exploring the Power of Visual Features for the Recommendation of Movies](https://dl.acm.org/doi/10.1145/3320435.3320470) - Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghadam, Christoph Trattner, Reza Hosseini, Marko Tkalčič . **UMAP, Jun 2019** | [`[pdf]`](https://www.christophtrattner.com/pubs/UMAP2019.pdf)
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- [Visually-Aware Personalized Recommendation using Interpretable Image Representations](https://arxiv.org/abs/1806.09820) -Charles Packer, Julian McAuley, Arnau Ramisa. **arxiv, 2018** | [`[pdf]`](https://arxiv.org/pdf/1806.09820.pdf)
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- [DeepStyle: Learning User Preferences for Visual Recommendation](https://dl.acm.org/doi/10.1145/3077136.3080658) -Qiang Liu, Shu Wu, Liang Wang. **SIGIR, Aug 2017** | [`[pdf]`](http://shuwu.name/sw/DeepStyle.pdf)
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- [Where to Go Next for Recommender Systems? ID-vs. Modality-based recommender models revisited](https://dl.acm.org/doi/abs/10.1145/3539618.3591932) -Zheng Yuan, Fajie Yuan, Yu Song. **SIGIR, July 2023** | [`[pdf]`](https://arxiv.org/pdf/2303.13835.pdf) [`[code]`](https://github.com/westlake-repl/IDvs.MoRec)
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- [Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights](https://dl.acm.org/doi/10.1145/3616855.3635805) -Zheng Yuan, Fajie Yuan, Yu Song. **WSDM, March 2024** | [`[pdf]`](https://arxiv.org/pdf/2305.15036.pdf) [`[code]`](https://github.com/westlake-repl/Adapter4Rec)
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### Public Datasets (Link verified :heavy_check_mark:)

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