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When Recurrent Neural Networks Meet the Neighborhood for Session-Based Recommendation

, and . Proceedings of the Eleventh ACM Conference on Recommender Systems, page 306--310. New York, NY, USA, ACM, (2017)
DOI: 10.1145/3109859.3109872

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On the Value of Reminders Within E-Commerce Recommendations, , and . Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, page 27--35. New York, NY, USA, ACM, (2016)Empirical Analysis of Session-Based Recommendation Algorithms., , , and . CoRR, (2019)User-centric evaluation of session-based recommendations for an automated radio station., and . RecSys, page 516-520. ACM, (2019)When Recurrent Neural Networks Meet the Neighborhood for Session-Based Recommendation, and . Proceedings of the Eleventh ACM Conference on Recommender Systems, page 306--310. New York, NY, USA, ACM, (2017)Advances in session-based and session-aware recommendation.. Technical University of Dortmund, Germany, (2020)Learning to rank hotels for search and recommendation from session-based interaction logs and meta data., and . RecSys Challenge, page 5:1-5:5. ACM, (2019)Empirical analysis of session-based recommendation algorithms., , , and . User Model. User Adapt. Interact., 31 (1): 149-181 (2021)Performance comparison of neural and non-neural approaches to session-based recommendation., , , and . RecSys, page 462-466. ACM, (2019)Session-based Item Recommendation in E-commerce: on Short-term Intents, Reminders, Trends and Discounts, , and . User Modeling and User-Adapted Interaction (UMUAI), 27 (3): 351--392 (Dec 1, 2017)Investigating Personalized Search in E-Commerce., and . FLAIRS, page 645-650. AAAI Press, (2017)