@inproceedings{0601f5817ff549baab0d716661b5924e,
title = "AdaCML: Adaptive collaborative metric learning for recommendation",
abstract = "User preferences are dynamic and diverse in real world, while historical preference of a user may not be equally important as current preference when predicting future interests. As a result, learning the evolving user representation effectively becomes a critical problem in personalized recommendation. However, existing recommendation solutions often use a fixed user representation, which is not capable of modeling the complex interests of users. To this end, we propose a novel metric learning approach named Adaptive Collaborative Metric Learning (AdaCML) for recommendation. AdaCML employs a memory component and an attention mechanism to learn an adaptive user representation, which dynamically adapts to locally activated items. In this way, implicit relationships of user-item pairs can be better determined in the metric space and users{\textquoteright} interests can be modeled more accurately. Comprehensive experimental results demonstrate the effectiveness of AdaCML on two datasets, and show that AdaCML outperforms competitive baselines in terms of Precision, Recall, and Normalized Discounted Cumulative Gain (NDCG).",
keywords = "Attention mechanism, Metric learning, Recommender systems",
author = "Tingting Zhang and Pengpeng Zhao and Yanchi Liu and Jiajie Xu and Junhua Fang and Lei Zhao and Sheng, {Victor S.} and Zhiming Cui",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019 ; Conference date: 22-04-2019 Through 25-04-2019",
year = "2019",
doi = "10.1007/978-3-030-18579-4_18",
language = "English",
isbn = "9783030185787",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "301--316",
editor = "Juggapong Natwichai and Joao Gama and Jun Yang and Guoliang Li and Yongxin Tong",
booktitle = "Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Proceedings",
}