Method for Hotel Partner Selection Considering Demand Information and Electronic Word-of-Mouth

doi:10.12068/j.issn.1005-3026.2023.10.018

Abstract

Abstract: Considering that travel agencies will pay attention to the demand information and electronic word-of-mouth(e-WOM)development trend of each alternative hotel when choosing partners， a method for hotel partner selection is proposed based on both information. First， the directed and weighted graph is constructed， in which the weight of the node is determined based on the demand information. Further， a time weight correction coefficient that considers the horizontal and vertical development trends of the alternatives’ e-WOM information is proposed to calculate the weight of each stage， and the TOWGA operator is used to calculate the attribute performance of each alternative hotel. By comparing the e-WOM attribute performance， the directed edge and its weight are determined. Then， the algorithm for calculating the ranking value of the alternative hotels is given based on PageRank. Finally， an example is used to verify the feasibility and effectiveness of the proposed method.

Key words: demand information; electronic word-of-mouth(e-WOM); time weight; PageRank; hotel partner selection

CLC Number:

C934

YOU Tian-hui， ZHANG Xi-ting， CAO Bing-bing， YUAN Yuan. Method for Hotel Partner Selection Considering Demand Information and Electronic Word-of-Mouth[J]. Journal of Northeastern University(Natural Science), 2023, 44(10): 1506-1513.

References

[1]Fang B，Ye Q，Kucukusta D，et al.Analysis of the perceived value of online tourism reviews:Influence of readability and reviewer characteristics［J］.Tourism Management，2016，52:498-506.
[2]Li M Y，Zhao X J，Zhang L，et al.Method for product selection considering consumer’s expectations and online reviews［J］.Kybernetes，2021，50(9):2488-2520.
[3]Wu C，Barnes D.An integrated model for green partner selection and supply chain construction［J］.Journal of Cleaner Production，2016，112:2114-2132.
[4]Buyukozkan G，Gocer F.A novel approach integrating AHP and COPRAS under Pythagorean fuzzy sets for digital supply chain partner selection［J］.IEEE Transactions on Engineering Management，2019，68(5):1486-1503.
[5]Roy J，Sharma H K，Kar S，et al.An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection［J］.Economic Research-Ekonomska Istraivanja，2019，32(1):219-253.
[6]Yu S M，Wang J，Wang J Q，et al.A multi-criteria decision-making model for hotel selection with linguistic distribution assessments［J］.Applied Soft Computing，2018，67:741-755.
[7]Wang J Q，Zhang X，Zhang H Y.Hotel recommendation approach based on the online consumer reviews using interval neutrosophic linguistic numbers［J］.Journal of Intelligent & Fuzzy Systems，2018，34(1):381-394.
[8]Bi J W，Liu Y，Fan Z P.Representing sentiment analysis results of online reviews using interval type-2 fuzzy numbers and its application to product ranking［J］.Information Sciences，2019，504:293-307.
[9]Nie R X，Tian Z P，Wang J Q，et al.Hotel selection driven by online textual reviews:applying a semantic partitioned sentiment dictionary and evidence theory［J］.International Journal of Hospitality Management，2020，88:102495.
[10]Zhang C X，Zhao M，Cai M Y，et al.Multi-stage multi-attribute decision making method based on online reviews for hotel selection considering the aspirations with different development speeds［J］.Computers & Industrial Engineering，2020，143:106421.
[11]Zhao M，Li L Y，Xu Z S.Study on hotel selection method based on integrating online ratings and reviews from multi-websites［J］.Information Sciences，2021，572:460-481.
[12]Yager R R.On ordered weighted averaging aggregation operators in multicriteria decision making［J］.IEEE Transactions on Systems，Man，and Cybernetics，1988，18(1):183-190.
[13]郭亚军，姚远，易平涛.一种动态综合评价方法及应用［J］.系统工程理论与实践，2007，27(10):154-158.(Guo Ya-jun，Yao Yuan，Yi Ping-tao.A method and application of dynamic comprehensive evaluation［J］.Systems Engineering-Theory & Practice，2007，27(10):154-158.)
[14]陶玲玲，尤天慧，袁媛.基于酒店特征信息和在线评价信息的酒店选择［J］.东北大学学报(自然科学版)，2019，40(11):1667-1672.(Tao Ling-ling，You Tian-hui，Yuan Yuan.Hotel selection based on information of hotel features and online ratings［J］.Journal of Northeastern University(Natural Science)，2019，40(11):1667-1672.)
[15]Scholz M，Pfeiffer J，Rothlauf F.Using PageRank for non-personalized default rankings in dynamic markets［J］.European Journal of Operational Research，2017，260(1):388-401.