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Modeling Document Novelty with Neural Tensor Network for Search Result Diversification

  • Published:2016-07-07 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
  • language:
  • Short-container-title:

Author:

Xia Long1,Xu Jun1,Lan Yanyan1,Guo Jiafeng1,Cheng Xueqi1

Affiliation:

1. Chinese Academy of Sciences, Beijing, China

Funder

863 Program

National Natural Science Foundation of China

973 Program of China

Key Research Program of the Chinese Academy of Sciences

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

ACM

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1. Passage-aware Search Result Diversification;ACM Transactions on Information Systems;2024-05-13

2. Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform;Proceedings of the ACM Web Conference 2024;2024-05-13

3. Multi-grained Document Modeling for Search Result Diversification;ACM Transactions on Information Systems;2024-04-27

4. CL4DIV: A Contrastive Learning Framework for Search Result Diversification;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

5. Personalized and Diversified: Ranking Search Results in an Integrated Way;ACM Transactions on Information Systems;2024-01-22
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