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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Symmetric Metric Learning with Adaptive Margin for Recommendation

February 1, 2023

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Authors

Mingming Li

Chinese Academy of Sciences


Shuai Zhang

The University of New South Wales


Fuqing Zhu

Chinese Academy of Sciences


Wanhui Qian

Chinese Academy of Sciences


Liangjun Zang

Chinese Academy of Sciences


Jizhong Han

Chinese Academy of Sciences


Songlin Hu

Chinese Academy of Sciences


DOI:

10.1609/aaai.v34i04.5894


Abstract:

Metric learning based methods have attracted extensive interests in recommender systems. Current methods take the user-centric way in metric space to ensure the distance between user and negative item to be larger than that between the current user and positive item by a fixed margin. While they ignore the relations among positive item and negative item. As a result, these two items might be positioned closely, leading to incorrect results. Meanwhile, different users usually have different preferences, the fixed margin used in those methods can not be adaptive to various user biases, and thus decreases the performance as well. To address these two problems, a novel Symmetic Metric Learning with adaptive margin (SML) is proposed. In addition to the current user-centric metric, it symmetically introduces a positive item-centric metric which maintains closer distance from positive items to user, and push the negative items away from the positive items at the same time. Moreover, the dynamically adaptive margins are well trained to mitigate the impact of bias. Experimental results on three public recommendation datasets demonstrate that SML produces a competitive performance compared with several state-of-the-art methods.

Topics: AAAI

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HOW TO CITE:

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu Symmetric Metric Learning with Adaptive Margin for Recommendation Proceedings of the AAAI Conference on Artificial Intelligence (2020) 4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu Symmetric Metric Learning with Adaptive Margin for Recommendation AAAI 2020, 4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu (2020). Symmetric Metric Learning with Adaptive Margin for Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu. Symmetric Metric Learning with Adaptive Margin for Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu. 2020. Symmetric Metric Learning with Adaptive Margin for Recommendation. "Proceedings of the AAAI Conference on Artificial Intelligence". 4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu. (2020) "Symmetric Metric Learning with Adaptive Margin for Recommendation", Proceedings of the AAAI Conference on Artificial Intelligence, p.4634-4641

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu, "Symmetric Metric Learning with Adaptive Margin for Recommendation", AAAI, p.4634-4641, 2020.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu. "Symmetric Metric Learning with Adaptive Margin for Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu. "Symmetric Metric Learning with Adaptive Margin for Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 4634-4641.

Mingming Li||Shuai Zhang||Fuqing Zhu||Wanhui Qian||Liangjun Zang||Jizhong Han||Songlin Hu. Symmetric Metric Learning with Adaptive Margin for Recommendation. AAAI[Internet]. 2020[cited 2023]; 4634-4641.


ISSN: 2374-3468


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