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cs.IR2023
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation
Liangliang Chen, Hongzhan Lin, Jinshan Ma +1
In the sequential recommendation task, the recommender generally learns multiple embeddings from a user's historical behaviors, to catch the diverse interests of the user. Neverthe…
cs.IR2012★ 1 cited
Promotional effect on cold start problem and diversity in a data characteristic based recommendation method
Tian Qiu, Zi-Ke Zhang, Guang Chen
Pure methods generally perform excellently in either recommendation accuracy or diversity, whereas hybrid methods generally outperform pure cases in both recommendation accuracy an…