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In order to deal with these issues in search engines, a comprehensive mechanism for hotel recommendation is proposed. In this mechanism, we consider users\u2019 personalized preferences by identifying users\u2019 attributes about interest, trust and consumption capacity. Meanwhile, the quantification method for each attribute is presented by using fuzzy theory. Moreover, this paper improves the method to evaluate the hotel, which respects to the criteria price, rating, and online review by using fuzzy theory. In addition, this proposed approach uses TOPSIS, a classical multi-criteria decision making method, to improve the accuracy further. Finally, a case study is conducted based on Tripadvisor.com to illustrate the validity of the proposed method for hotel recommendation in search engines. The results of the case study indicate that it not only solves the problem of non-personalization, but also improves the accuracy in search engine.<\/jats:p>","DOI":"10.3233\/jifs-18547","type":"journal-article","created":{"date-parts":[[2018,8,14]],"date-time":"2018-08-14T15:56:33Z","timestamp":1534262193000},"page":"3733-3745","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["A comprehensive mechanism for hotel recommendation to achieve personalized search engine"],"prefix":"10.1177","volume":"35","author":[{"given":"Ying","family":"Huang","sequence":"first","affiliation":[{"name":"School of Business, Central South University, Changsha, China"}]},{"given":"Hong-Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Business, Central South University, Changsha, China"}]},{"given":"Jian-Qiang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Business, Central South University, Changsha, China"}]}],"member":"179","published-online":{"date-parts":[[2018,8,11]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.21863"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.4018\/IJWSR.2018010103"},{"key":"e_1_3_2_4_2","first-page":"35","article-title":"Co-Staying: A social network for increasing the trustworthiness of hotel recommendations","volume":"2017","author":"Barbu C.M.","year":"2017","unstructured":"C.M.Barbu and J.Ziegler, Co-Staying: A social network for increasing the trustworthiness of hotel recommendations, Rec Tour 2017 (2017), 35\u201339.","journal-title":"Rec Tour"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhm.2017.10.001"},{"key":"e_1_3_2_6_2","first-page":"710","article-title":"A hotel recommendation system based on reviews: What do you attach importance to","author":"Takuma K.","year":"2016","unstructured":"K.Takuma, J.Yamamoto, S.Kamei and S.Fujita, A hotel recommendation system based on reviews: What do you attach importance to? 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