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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3050407
Abstract: Capturing the dynamics in user preference is crucial to better predict user future behaviors because user preferences often drift over time. Many existing recommendation algorithms – including both shallow and deep ones – often model…
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Keywords:
sequential recommendation;
recommendation;
dictionary learning;
dynamic preferences ... See more keywords
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recommendations!
1
Published in 2022 at "Entropy"
DOI: 10.3390/e24020263
Abstract: We studied the stable marriage problem with dynamic preferences. The dynamic preference model allows the agent to change its preferences at any time, which may cause instability in a matching. However, preference changing in SMP…
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Keywords:
problem dynamic;
dynamic preferences;
stable marriage;
mechanism ... See more keywords