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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; Lecture Notes in Computer Science ,
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Multi-task Learning for User Engagement and Adoption in Liv..:
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Proceedings of the 15th ACM Conference on Recommender Systems ,
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Sequence Adaptation via Reinforcement Learning in Recommend..:
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Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ,
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Meta-reinforcement learning via buffering graph signatures ..:
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Proceedings of the 12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ,
5
VStreamDRLS : dynamic graph representation learning with..:
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Proceedings of the 12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ,
6
Distill2Vec : dynamic graph representation learning with..:
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Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science ,
8
GeoDCF: Deep Collaborative Filtering with Multifaceted Cont..:
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Lecture Notes in Computer Science; Advances in Information Retrieval ,
9
On Cross-Domain Transfer in Venue Recommendation:
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Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval ,
11
Adversarial Training for Review-Based Recommendations:
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Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval ,
12
Neural Attentive Cross-Domain Recommendation:
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Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics ,
13
Can Virtual Assistants Produce Recommendations?:
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IEEE/WIC/ACM International Conference on Web Intelligence ,
14
Bayesian Deep Learning with Trust and Distrust in Recommend..:
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Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ,
15