Learning Visual Features from Snapshots for Web Search

Author:

Fan Yixing1,Guo Jiafeng2,Lan Yanyan2,Xu Jun2,Pang Liang1,Cheng Xueqi2

Affiliation:

1. University of Chinese Academy of Sciences & CAS Key Lab of Network Data Science and Technology, beijing, China

2. CAS Key Lab of Network Data Science and Technology, beijing, China

Funder

the National Natural Science Foundation of China (NSFC)

973 Program of China

the Youth Innovation Promotion Association CAS

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A set of novel HTML document quality features for Web information retrieval: Including applications to learning to rank for information retrieval;Expert Systems with Applications;2024-07

2. VILE: Block-Aware Visual Enhanced Document Retrieval;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. Webpage retrieval based on query by example for think tank construction;Information Processing & Management;2022-01

4. A Deep Look into neural ranking models for information retrieval;Information Processing & Management;2020-11

5. Search Result Reranking with Visual and Structure Information Sources;ACM Transactions on Information Systems;2019-07-20

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