User preferences, intents, behaviors, and contexts evolve over time, making temporal reasoning a fundamental challenge in recommender systems. Accurately capturing both short-term and long-term dynamics is essential for improving personalization and recommendation quality across domains such as e-commerce, media consum...
Adir Solomon, Oren Sar Shalom, T. Kuflik et al.· Proceedings of the 20th ACM...· 0 citations
We explore predicting eCommerce user preferences for product aspects such as brand, size, and color - a task we define as Aspect Affinity. Solving this task improves customer understanding and enables fine-grained personalization in recommendation, search, and marketing. We frame Aspect Affinity as a temporal predictio...
Yotam Eshel, Guy Hadad, Guy Feigenblat et al.· 0 citations
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