Title :
An improved vector space model to retrieval systems for content matching in agricultural information
Author :
RuPeng Luan ; Qian Zhang ; Junfeng Zhang ; Yu Feng ; TianGang Lu
Author_Institution :
Inst. of Agric. Scientech Inf., Beijing Acad. of Agric. & Forestry Sci., Beijing, China
Abstract :
Retrieval Systems have been developed in variety of domains, but due to information overload and its varieties in agriculture website, it is difficult to draw out the relevant information. Therefore, retrieval systems play an important role in filtering and customizing the desired information. Through the revision of specialized characteristic word weight and the revision of inquiry characteristic word weight, an improved vector space model (VSM) of retrieval systems in agricultural information field was proposed, which improved information retrieval performance both in precision and recall rates.
Keywords :
Web sites; agriculture; information filtering; information retrieval systems; VSM; agricultural information; agriculture Web site; content matching; information customization; information filtering; information overload; information retrieval performance; inquiry characteristic word weight; precision rate; recall rate; retrieval systems; specialized characteristic word weight; vector space model; Agriculture; Computational modeling; Documentation; Feature extraction; Information retrieval; Information services; Vectors; VSM; agricultural information service; question-answer system;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/FSKD.2013.6816244
