Research on Tourism Service Intelligent Recommendation System Based on Apriori-MD Algorithm

Abstract

Abstract. This paper describes main modern tendencies of the design and development of intelligent information technologies, implementing process of generating recommendations in tourism recommender systems. The basic trends of the e-tourism information technology tools are analyzed to show importance of creation for multitask, multykontent mobile e-tourism recommender systems with decision support functions in terms of the tourism group, which is regarded as a single collective user.

Application of Ant Colony Optimization Computing to a Recommended Travel Itinerary Planning System with Repeatedly Used Nodes

“…Generally, the tourist trip design problem refers to the problem of optimizing travelroute planning for tourists interested in visiting multiple points of interest (POIs) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Today's travel is mainly self-planned, and the sources of information are relatives and friends or online information [1][2][3][5][6][7][8][9][10][11][12][13][14].…”

“…Generally, the tourist trip design problem refers to the problem of optimizing travelroute planning for tourists interested in visiting multiple points of interest (POIs) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Today's travel is mainly self-planned, and the sources of information are relatives and friends or online information [1][2][3][5][6][7][8][9][10][11][12][13][14]. How to take into account the user's scenic satisfaction choices within a limited budget and within a limited period of time is what many tourism papers want to solve using an ant colony system (ACS).…”

Research on Intelligent Recommendation Business Model of Tourism Enterprise Value Platform from the Perspective of Value Cocreation

“…is scheme is very suitable for establishing intelligent city tourism information system. Applying data mining technology [2] to provide services for users' personalized needs is a hot spot in current tourism research. is paper introduces a tourism service intelligent recommendation system based on Apriori-MD algorithm, which is twice as efficient as Apriori algorithm.…”