NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations
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Summary
This half day workshop explores challenges and potential research directions in Recommender Systems (RSs) combining Natural Language Processing (NLP) with the focus on stimulating discussions around how to combine natural language processing technologies with recommendation.
- Type
- article
- Published
- 2020-01-20
- Cited by
- 4
- References
- 10
- Access
- Open access
- OpenAlex
- https://openalex.org/W3001984544
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:210883923
Keywords
Computer science, Natural (archaeology), Biology
References
- Explainable Recommendation: A Survey and New Perspectives
- Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
- KGAT: Knowledge Graph Attention Network for Recommendation
- Interpretable Fashion Matching with Rich Attributes
- RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
- π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations
- Conversational Recommender System
- Graph Neural Networks with Generated Parameters for Relation Extraction
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks
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