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abstract

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations

Published: 22 January 2020 Publication History

Abstract

Natural language processing is becoming more and more important in recommender systems. This half day workshop explores challenges and potential research directions in Recommender Systems (RSs) combining Natural Language Processing (NLP). The focus will be on stimulating discussions around how to combine natural language processing technologies with recommendation. We welcome theoretical, experimental, and methodological studies that leverage NLP technologies to advance recommender systems, as well as emphasize the applicability in practical applications. The workshop aims to bring together a diverse set of researchers and practitioners interested in investigating the interaction between NLP and RSs to develop more intelligent RSs.

References

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Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, and Maarten de Rijke. 2019. Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation. TKDE (2019).
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Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, and Maarten de Rijke. 2019. PI-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. In SIGIR '19 .
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Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In CIKM '19 .
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Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, and Tat-Seng Chua. 2019. Interpretable Fashion Matching with Rich Attributes. In SIGIR '19 .
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Cited By

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  • (2022)Mixed Information Flow for Cross-Domain Sequential RecommendationsACM Transactions on Knowledge Discovery from Data10.1145/348733116:4(1-32)Online publication date: 31-Aug-2022

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            cover image ACM Conferences
            WSDM '20: Proceedings of the 13th International Conference on Web Search and Data Mining
            January 2020
            950 pages
            ISBN:9781450368223
            DOI:10.1145/3336191
            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            Published: 22 January 2020

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            Author Tags

            1. natural language processing
            2. recommender systems
            3. workshop

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            Funding Sources

            • the Innovation Center for Artificial Intelligence (ICAI)
            • the Natural Science Foundation of China
            • the Association of Universities in the Netherlands (VSNU)
            • the Tencent AI Lab Rhino-Bird Focused Research Program
            • the Natural Science Foundation of Shandong province
            • Ahold Delhaize
            • the Fundamental Research Funds of Shandong University

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            WSDM '20

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            Overall Acceptance Rate 498 of 2,863 submissions, 17%

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            Cited By

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            • (2022)Mixed Information Flow for Cross-Domain Sequential RecommendationsACM Transactions on Knowledge Discovery from Data10.1145/348733116:4(1-32)Online publication date: 31-Aug-2022

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