Wang et al., 2023 - Google Patents
Efficient and Effective Academic Expert Finding on Heterogeneous Graphs through (k, š«)-Core based EmbeddingWang et al., 2023
- Document ID
- 10195924648887573609
- Author
- Wang Y
- Liu J
- Xu X
- Ke X
- Wu T
- Gou X
- Publication year
- Publication venue
- ACM Transactions on Knowledge Discovery from Data
External Links
Snippet
Expert finding is crucial for a wealth of applications in both academia and industry. Given a user query and trove of academic papers, expert finding aims at retrieving the most relevant experts for the query, from the academic papers. Existing studies focus on embeddingĀ ā¦
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30522—Query processing with adaptation to user needs
- G06F17/3053—Query processing with adaptation to user needs using ranking
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- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06Q10/00—Administration; Management
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