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Then, the accurate tie strength between the attendees and presenters as well as the degree centrality of the presenters are computed based on similarity of their research interests. Using the computations above, ROVETS generates effective recommendations pertaining to venues for attendees who have high tie strength with presenters. Through a relevant real-world dataset, this article evaluates the proposed recommender algorithm. These experimental results validate that ROVETS exhibits favorable enhancements over other existing state-of-the-art methods.<\/jats:p>","DOI":"10.4018\/ijdsst.2019070103","type":"journal-article","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T06:52:37Z","timestamp":1559026357000},"page":"30-46","source":"Crossref","is-referenced-by-count":5,"title":["ROVETS"],"prefix":"10.4018","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4908-8528","authenticated-orcid":true,"given":"Nana Yaw","family":"Asabere","sequence":"first","affiliation":[{"name":"Accra Technical University, Accra, Ghana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1838-0155","authenticated-orcid":true,"given":"Amevi","family":"Acakpovi","sequence":"additional","affiliation":[{"name":"Accra Technical University, Accra, Ghana"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJDSST.2019070103-0","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2695605"},{"key":"IJDSST.2019070103-1","doi-asserted-by":"publisher","DOI":"10.1080\/17445760.2014.904859"},{"key":"IJDSST.2019070103-2","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2014.2325837"},{"key":"IJDSST.2019070103-3","doi-asserted-by":"crossref","unstructured":"Bhardwaj, A., Kim, J., Dow, S., Karger, D., Madden, S., Miller, R., & Zhang, H. 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