Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation-Reference-Cited by-同舟云学术

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Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation

Published:2014-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
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Author:

Mahdabi Parvaz¹,Crestani Fabio¹

Affiliation:

1. University of Lugano, Lugano, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2661829.2661899

Reference23 articles.

1. Improving Retrievability of Patents in Prior-Art Search

2. The anatomy of a large-scale hypertextual Web search engine

3. Text Representations for Patent Classification

4. Enhancing patent retrieval by citation analysis

Cited by 12 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. Validity;Synthesis Lectures on Human Language Technologies;2024

2. Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker;ACM Transactions on Information Systems;2023-11-11

3. Interpretable patent recommendation with knowledge graph and deep learning;Scientific Reports;2023-02-14

4. A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis;Scientometrics;2021-11-08

5. A knowledge graph approach for recommending patents to companies;Electronic Commerce Research;2021-03-22

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