標題: Integer nonlinear programming and optimized weighted-average approach for mobile hotel recommendation by considering travelers' unknown preferences
作者: Lin, Yu-Cheng
Chen, Toly
Wang, Li-Chih
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Hotel;Recommendation;Integer nonlinear programming;Dominated solution
公開日期: 1-十月-2018
摘要: The existing mobile hotel recommendation systems are usually subject to a difficult problem-travelers choose dominated hotels. This problem is difficult to resolve because there is no reason to recommend a hotel that is inferior to another in all aspects. To address this problem, an artificial dimension is added to each hotel to model unknown personal preferences. The possible values along the artificial dimension and the weight associated with it are derived by solving an integer nonlinear programming problem. Thus, the proposed methodology hybridizes objective and subjective weights. An illustrative example is provided to show the applicability of the proposed methodology. In addition, a field study was conducted in a small region of Seatwen District, Taichung City, Taiwan to evaluate the possible advantages of the proposed methodology over existing methods. The experimental results showed that the proposed methodology outperformed five existing methods in improving the successful recommendation rate, with the most significant advantage being up to 33 %. Furthermore, the recommendation results generated using the proposed methodology were found to be less risky.
URI: http://dx.doi.org/10.1007/s12351-016-0270-9
http://hdl.handle.net/11536/148181
ISSN: 1109-2858
DOI: 10.1007/s12351-016-0270-9
期刊: OPERATIONAL RESEARCH
Volume: 18
起始頁: 625
結束頁: 643
顯示於類別:期刊論文