Translation-Based Sequential Recommendation for Complex Users on Sparse Data

IEEE Transactions on Knowledge and Data Engineering, pp. 1639-1651, 2019.

Cited by: 6|Bibtex|Views73|DOI:https://doi.org/10.1109/TKDE.2019.2906180
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Abstract:

Sequential recommendation is one of the main tasks in recommender systems, where the next action (e.g., purchase, visit, and click) of the user is predicted based on his/her past sequence of actions. Translating Embeddings is a knowledge graph completion approach which was recently adapted to a translation-based sequential recommendation ...More

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