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Technologies and Applications of Literature Co-occurrence Network Based on Characteristic Terms in Academic Information Retrieval
Received date: 2014-05-19
Revised date: 2014-07-06
Online published: 2014-08-05
After analyzing the present situation of the domestic academic information retrieval services and research status at home and abroad, a digital academic information query suggestion recommendation model based on co-occurrence analysis was developed, which includes the basic literatures storage module, the literatures feature item extraction module, the literatures feature co-occurrence network preprocessing module, the literature search module based on feature item and the front-end of search term services. An experiment was done to verify the model. The research showed that the academic information query suggestion recommendation model based on co-occurrence analysis of literature characteristic terms achieved better recommendation quality.
Ding Jie , Wang Yuefen . Technologies and Applications of Literature Co-occurrence Network Based on Characteristic Terms in Academic Information Retrieval[J]. Library and Information Service, 2014 , 58(15) : 135 -141 . DOI: 10.13266/j.issn.0252-3116.2014.15.020
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