Memory Bank Augmented Long-tail Sequential Recommendation

Full text for this resource is not available from the Research Repository.

Hu, Yidan, Liu, Yong ORCID: 0000-0001-9031-9696, Miao, Chunya ORCID: 0000-0002-0300-3448 and Miao, Yuan ORCID: 0000-0002-6712-3465 (2022) Memory Bank Augmented Long-tail Sequential Recommendation. In: CIKM 2022, 17 October 2022 - 21 October 2022, Atlanta, USA.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
DOI 10.1145/3511808.3557391
Official URL
ISBN 9781450392365
Subjects Current > FOR (2020) Classification > 4605 Data management and data science
Current > Division/Research > College of Science and Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords recommendation system; recommendation performance; MASR model; memory network; real-world datasets; information retrieval; tail items; long-tail problem
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login