2015
DOI: 10.1016/j.ipm.2015.02.002
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Research patterns and trends of Recommendation System in China using co-word analysis

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Cited by 110 publications
(71 citation statements)
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“…In fact, it is a technique that outlines the intellectual structure of a field by analyzing the relationship between words in various sections of a document (i.e., the title, abstract, keywords, etc. ), using various indexes and mapping subdomains (Callon et al, 1983;Hu & Zhang, 2015;Ravikumar, Agrahari, & Singh, 2015;Whittaker, 1989).…”
Section: Co-word Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In fact, it is a technique that outlines the intellectual structure of a field by analyzing the relationship between words in various sections of a document (i.e., the title, abstract, keywords, etc. ), using various indexes and mapping subdomains (Callon et al, 1983;Hu & Zhang, 2015;Ravikumar, Agrahari, & Singh, 2015;Whittaker, 1989).…”
Section: Co-word Analysismentioning
confidence: 99%
“…If two keywords expressing a particular research topic appear simultaneously in the same document, those two words have a certain semantic relationship (I.E. Co-Word or Co-Occurrence) (Yang et al 2012;Hu & Zhang, 2015;Khasseh et al 2017) and they correlate with each other (Cho, 2014). The frequency of the co-occurrence of keywords implies the strength of the relationship between them (Chen, Chen, Wu, Xie, & Li, 2016;Ding et al, 2001;Feng et al, 2017).…”
Section: Co-word Analysismentioning
confidence: 99%
“…Table 2 lists the 60 most used terms, with a total of 2219 co-occurrence frequencies, which accounts for more than 75% of all keyword frequencies. "Green building" and its synonyms used for searching publications are excluded as they comprise a large proportion and provide general background information [66], and therefore there is no additional value in analyzing these words. Moreover, not all the keywords provided by the authors are normalised; thus, the extracted keywords are standardized to ensure the consistent treatment of unifying synonyms.…”
Section: Keyword Co-occurrence Analysismentioning
confidence: 99%
“…Co-word analysis has been widely applied in many fields, such as Internet of Things (IoT) (Yan et al, 2015), nanotechnology research (Darvish and Tonta, 2015), 3D printing (Wang et al, 2015) and economic transition (Topalli and Ivanaj, 2016). Using co-word network analysis can capture the current status and trends of research themes (Hu and Zhang, 2015). A co-word analysis based on the keywords and thematic noun-phrases in the titles and abstracts of the sample papers was used to explore the hot research topics in the top five journals.…”
Section: Co-word Analysismentioning
confidence: 99%