Enriching information retrieval-Reference-Cited by-同舟云学术

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Enriching information retrieval

Published:2012-01-09 Issue:2 Volume:45 Page:60-65
ISSN:0163-5840
Container-title:ACM SIGIR Forum
language:en
Short-container-title:SIGIR Forum

Author:

Bennett Paul N.¹,El-Arini Khalid²,Joachims Thorsten³,Svore Krysta M.¹

Affiliation:

1. Microsoft Research

2. Carnegie Mellon University

3. Cornell University

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

Cited by 3 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. Comment-enriched index terms improve the relevance and novelty of the ranking of the commented medical articles retrieved by an NLP system;Online Information Review;2022-12-29

2. Unified Retrieval Model of Big Data;Advances in Big Data;2016-10-08

3. Report on the fourth workshop on exploiting semantic annotations in information retrieval (ESAIR'11);ACM SIGIR Forum;2012-05-20

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