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Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis
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The 28 checked references that resolve
resolves10.1007/s40558-018-0119-6
Open data in the hotel industry: leveraging forthcoming events for hotel recommendation
resolves10.1007/s11042-018-5992-7
A two-stage multiple-factor aware method for travel product recommendation
resolves10.1016/j.ipm.2018.03.004
Social network data to alleviate cold-start in recommender system: A systematic review
resolves10.1016/j.eswa.2020.113301
A novel tourism recommender system in the context of social commerce
resolves10.1016/j.jhtm.2019.07.001
How to predict explicit recommendations in online reviews using text mining and sentiment analysis
resolves10.1016/j.jbusres.2016.10.004
A social commerce investigation of the role of trust in a social networking site on purchase intentions
resolves10.1108/IJCHM-07-2020-0673
Toward travel pattern aware tourism region planning: a big data approach
resolves10.1016/j.elerap.2020.100978
A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
resolves10.1016/j.ipm.2017.05.005
Improving personalized recommendations using community membership information
resolves10.1016/j.dss.2013.02.009
A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship
resolves10.1080/13683500.2019.1665628
Establishing the service evaluation and selection system for emerging culture festival events using the hybrid MCDM technique
resolves10.1016/j.tourman.2014.09.020
What makes a useful online review? Implication for travel product websites
resolves10.1016/j.chb.2019.04.004
Analyzing the effect of social support and community factors on customer engagement and its impact on loyalty behaviors toward social commerce websites
resolves10.1080/13683500.2019.1641070
Destination competitiveness: how does travel experience influence choice?
resolves10.1016/j.ijhm.2020.102495
Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory
resolves10.1016/j.elerap.2015.08.004
A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA–ANFIS
resolves10.1080/13683500.2021.1895729
The impact of social media influencers on travel decisions: the role of trust in consumer decision journey
resolves10.1016/j.jhtm.2020.04.007
How does a menu's information about local food affect restaurant selection? The roles of corporate social responsibility, transparency, and trust
resolves10.1016/j.tmp.2020.100710
A predictive model of tourist destinations based on tourists' comments and interests using text analytics
resolves10.1016/j.omega.2019.102141
From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey
resolves10.1016/j.cie.2018.11.020
A trust propagation and collaborative filtering based method for incomplete information in social network group decision making with type-2 linguistic trust
resolves10.1177/1094670520975143
Harvesting Online Reviews to Identify the Competitor Set in a Service Business: Evidence From the Hotel Industry
resolves10.1016/j.ins.2018.04.061
Personalized restaurant recommendation method combining group correlations and customer preferences
resolves10.1016/j.tourman.2016.08.010
A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com
resolves10.1016/j.tourman.2016.01.004
The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior
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