M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations-Reference-Cited by-同舟云学术

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations

Published:2022-09-18 Issue: Volume: Page:
ISSN:
Container-title:Sixteenth ACM Conference on Recommender Systems
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Author:

Shalaby Walid¹,Oh Sejoon²,Afsharinejad Amir¹,Kumar Srijan²,Cui Xiquan¹

Affiliation:

1. The Home Depot, United States

2. School of Computational Science and Engineering, Georgia Institute of Technology, United States

Publisher

ACM

Reference45 articles.

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2. BERT4SessRec

3. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches

4. Gabriel de Souza Pereira Moreira , Sara Rabhi , Ronay Ak , and Benedikt Schifferer . 2021 . End-to-End Session-Based Recommendation on GPU. In Fifteenth ACM Conference on Recommender Systems. 831–833 . Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, and Benedikt Schifferer. 2021. End-to-End Session-Based Recommendation on GPU. In Fifteenth ACM Conference on Recommender Systems. 831–833.

5. Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation

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