RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation

Author:

Wu Ning1ORCID,Gong Ming1ORCID,Shou Linjun1ORCID,Pei Jian2ORCID,Jiang Daxin1ORCID

Affiliation:

1. Microsoft STCA, Beijing, China

2. Duke University, Durham, NC, USA

Funder

Microsoft

Publisher

ACM

Reference52 articles.

1. A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation

2. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

3. Chenwei Cai , Ruining He , and Julian McAuley . 2017. SPMC: socially-aware personalized markov chains for sparse sequential recommendation. arXiv preprint arXiv:1708.04497 ( 2017 ). Chenwei Cai, Ruining He, and Julian McAuley. 2017. SPMC: socially-aware personalized markov chains for sparse sequential recommendation. arXiv preprint arXiv:1708.04497 (2017).

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

5. Exploring Simple Siamese Representation Learning

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