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Title | Contribution | Research gap/limitations |
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Tourism route decision support based on neural net buffer analysis | A knowledge-based tourism recommendation system is designed. The system provides users with interesting travel information through their operation behaviors | Emphasis is placed on the functional development and operation mode of websites, but there is little research on website reviews |
Schinas O. Energy supply security for the Aegean islands: a routing model with risk and environmental considerations | Based on the MapReduce framework, quantitative association rules in big data environment are studied | This study improved the traditional tourism information service, but failed to reflect the connotation of smart tourism |
Analysis of tourist systems predictive models applied to growing sun and beach tourist destination | A knowledge-based recommendation system is proposed, which simulates the way of human tour guides and provides users with interesting travel information according to their operation behaviors | Emphasis is placed on the functional development and operation mode of websites, but there is little research on website reviews |
A performance evaluation of a fault-tolerant path recommendation protocol for smart transportation system | In this study, the efficient association rule mining considering itemset constraints is studied. By pruning the uninterested itemsets and the rules that users are not interested in during the generation of frequent itemsets, the efficiency of algorithm mining is improved | This method can better discover users’ interests, but it lacks the function of autonomous feature learning |
A new point-of-interest approach based on multi-itinerary recommendation engine | This study studies the mining of temporal and spatial association rules without time constraints and demonstrates its application in global terrorism event mining | The problem of repeated mining in the mining process is reduced, but there is still a lack of personalization in recommendation |
Attraction recommendation: towards personalized tourism via collective intelligence | Aiming at the orderliness of event sequences, a mining method of association rules with order constraints is proposed | This study improved the traditional tourism information service, but failed to reflect the connotation of smart tourism |
A stochastic approach towards travel route optimization and recommendation based on users constraints using Markov chain | Aiming at the problem of travel itinerary planning with multiple constraints, a travel itinerary planning algorithm based on time frame is proposed | Emphasis is placed on the functional development and operation mode of websites, but there is little research on website reviews |
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