30 citations · 53 across the 6 of their papers we have counts for
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cs.IR2020★ 30 cited
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation
Shoujin Wang, Longbing Cao, Liang Hu +4
A transaction-based recommender system (TBRS) aims to predict the next item by modeling dependencies in transactional data. Generally, two kinds of dependencies considered are intr…
cs.IR2017★ 1 cited
Graph Based Recommendations: From Data Representation to Feature Extraction and Application
Amit Tiroshi, Tsvi Kuflik, Shlomo Berkovsky +1
Modeling users for the purpose of identifying their preferences and then personalizing services on the basis of these models is a complex task, primarily due to the need to take in…