Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation
Author:
Affiliation:
1. Hanyang University, Seoul, Republic of Korea
Funder
Institute of Information & Communications Technology Planning & Evaluation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645681
Reference40 articles.
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2. A Competition-Aware Approach to Accurate TV Show Recommendation
3. Improving the spatial–temporal aware attention network with dynamic trajectory graph learning for next Point-Of-Interest recommendation
4. Dong-Kyu Chae, Jihoo Kim, Sang-Wook Kim, and Duen Horng Chau. 2020. ARCF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. In ACM SIGIR Conference on Research and Development in Information Retrieval. 1251--1260.
5. Building and exploiting spatial–temporal knowledge graph for next POI recommendation
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