Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation

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 intra-transaction dependence and inter-transaction dependence. Most existing TBRSs recommend next item by only modeling the intra-transaction dependence within the current transaction while ignoring inter-transaction depende...