{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T05:02:11Z","timestamp":1773550931629,"version":"3.50.1"},"reference-count":42,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T00:00:00Z","timestamp":1559520000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2019,6,3]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to propose a model for product recommendation to improve the accuracy of recommendation based on the current search engines used in e-commerce platforms like Tmall.com.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>First, the proposed model comprehensively considers price, trust and online reviews, which all represent critical factors in consumers\u2019 purchasing decisions. Second, the model introduces the quantization methods for these criteria incorporating fuzzy theory. Third, the model uses a distance measure between two single valued neutrosophic sets based on the prioritized average operator to consolidate the influences of positive, neutral and negative comments. Finally, the model uses multi-criteria decision-making methods to integrate the influences of price, trust and online reviews on purchasing decisions to generate recommendations.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>To demonstrate the feasibility and efficiency of the proposed model, a case study is conducted based on Tmall.com. The results of case study indicate that the recommendations of our model perform better than those of current search engines of Tmall.com. The proposed model can significantly improve the accuracy of product recommendations based on search engines.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The product recommendation method can meet the critical challenge from the search engines on e-commerce platforms. In addition, the proposed method could be used in practice to develop a new application for e-commerce platforms.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-03-2018-0143","type":"journal-article","created":{"date-parts":[[2018,10,25]],"date-time":"2018-10-25T19:04:05Z","timestamp":1540494245000},"page":"1355-1372","source":"Crossref","is-referenced-by-count":12,"title":["A novel product recommendation model consolidating price, trust and online reviews"],"prefix":"10.1108","volume":"48","author":[{"given":"Ying","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nu-nu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianqiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020092221380409600_ref001","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2631138","article-title":"Hybrid recommender systems based on content feature relationship","year":"2016","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"1","key":"key2020092221380409600_ref002","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","article-title":"Intuitionistic fuzzy sets","volume":"20","year":"1986","journal-title":"Fuzzy Sets and Systems"},{"issue":"9","key":"key2020092221380409600_ref003","doi-asserted-by":"crossref","first-page":"1829","DOI":"10.1016\/j.jbusres.2015.01.010","article-title":"Avoiding the dark side of positive online consumer reviews: enhancing reviews\u2019 usefulness for high risk-averse travelers","volume":"68","year":"2015","journal-title":"Journal of Business Research"},{"issue":"4","key":"key2020092221380409600_ref004","first-page":"689","article-title":"Supporting the purchase decisions of consumers: a comprehensive method for selecting desirable online products","volume":"47","year":"2017","journal-title":"Kybernetes"},{"issue":"16","key":"key2020092221380409600_ref005","first-page":"5247","article-title":"Supporting consumer\u2019s purchase decision: a method for ranking products based on online multi-attribute product ratings","volume":"22","year":"2017","journal-title":"Soft Computing"},{"key":"key2020092221380409600_ref006","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.eswa.2016.02.013","article-title":"Interactive recommender systems: a survey of the state of the art and future research challenges and opportunities","volume":"56","year":"2016","journal-title":"Expert Systems with Applications"},{"key":"key2020092221380409600_ref007","article-title":"Scalable recommender systems: where machine learning meets search","volume-title":"Proceedings of the 9th ACM Conference on Recommender Systems","year":"2015"},{"issue":"1","key":"key2020092221380409600_ref008","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1007\/s00521-016-2436-z","article-title":"A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection","volume":"29","year":"2018","journal-title":"Neural Computing and Applications"},{"issue":"4","key":"key2020092221380409600_ref009","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1509\/jmr.13.0488","article-title":"Cost conscious? 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