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cs.IR2019
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
Fan Liu, Zhiyong Cheng, Changchang Sun +3
Most existing recommender systems represent a user's preference with a feature vector, which is assumed to be fixed when predicting this user's preferences for different items. How…
cs.IR2018
Attentive Long Short-Term Preference Modeling for Personalized Product Search
Yangyang Guo, Zhiyong Cheng, Liqiang Nie +3
E-commerce users may expect different products even for the same query, due to their diverse personal preferences. It is well-known that there are two types of preferences: long-te…