A Graph-Enhanced Click Model for Web Search
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
2. Huawei Noah's Ark Lab, Shenzhen, China
Funder
New Generation of AI 2030
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3404835.3462895
Reference33 articles.
1. A Neural Click Model for Web Search
2. A Click Sequence Model for Web Search
3. A dynamic bayesian network click model for web search ranking
4. Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search
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1. How Can Recommender Systems Benefit from Large Language Models: A Survey;ACM Transactions on Information Systems;2024-07-13
2. Neural Click Models for Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
3. Probabilistic graph model and neural network perspective of click models for web search;Knowledge and Information Systems;2024-06-06
4. ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation;Proceedings of the ACM Web Conference 2024;2024-05-13
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