Multi-stage knowledge distillation for sequential recommendation with interest knowledge-Reference-Cited by-同舟云学术

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Multi-stage knowledge distillation for sequential recommendation with interest knowledge

Published:2024-01 Issue: Volume:654 Page:119841
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Du Yongping,Niu Jinyu,Wang Yuxin,Jin Xingnan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference32 articles.

1. Ranking distillation: Learning compact ranking models with high performance for recommender system;Tang,2018

2. Collaborative distillation for top-N recommendation;Lee,2019

3. Transferring knowledge to smaller network with class-distance loss;Kim,2017

4. Attention-based context-aware sequential recommendation model;Yuan;Inf. Sci.,2020

5. Neural attentive session-based recommendation;Li,2017

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1. Knowledge in attention assistant for improving generalization in deep teacher–student models;International Journal of Modelling and Simulation;2024-08-22

2. Practical Challenges and Methodologies in Next Basket Recommendation (NBR);2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

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