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Temporal Conformity-aware Hawkes Graph Network for Recommendations
Many existing recommender systems (RSs) assume user behavior is governed solely by their interests. However, the peer effect often …
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
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NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution
We outline a simulation-based study of the effect rapid population-scale concept drifts have on Collaborative Filtering (CF) models. We …
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
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NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering
Concept drift in stream data has been well studied in machine learning applications. In the field of recommender systems, this issue is …
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
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From Changing User Needs to Changing Behavior: The Impact of User Macro-Trends on Recommender Systems
Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson
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