Research on Red Tourism Push System based on Collaborative Filtering in Northwest China

Jie Ren

Ningxia Academy of Social Sciences, Yinchuan, 750021, China

Abstract: Research on red tourism push system based on collaborative filtering in Northwest China. Abstract: In order to improve the service ability of red tourism in Northwest China, we need to carry out personalized itinerary push design, a design model of red tourism push system is proposed based on collaborative filtering. According to the tourists' preference of interest and judgment, the similarity evaluation method is used to ex-tract the tourists' personalized features, and the autocorrelation statistical analysis method is used to automatically match the red tourism itinerary and the tourists' personalized preferences in Northwest China. Combined with the characteristic attributes of tourists and the item attributes of travel itinerary, the decision function of red tourism itinerary push in northwest region is established, and the fuzzy decision method is adopted to realize the automatic push of travel itinerary in northwest area. The software development and design of push system are carried out under Visual DSP++4.5 and embedded Linux kernel. The embedded Linux kernel is constructed under the environment of Internet of things for cross-compiling control of tourism push, which improves the objectiveness and object-oriented of push. The system test results show that the proposed method is more object-oriented, more individualized, and more satisfactory in pushing the red tourism itinerary in Northwest China. 

Keywords: Collaborative filtering; Northwest red tourism route; Push system; Embedded Linux; Software design