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Research On Recommendation Algorithm Based On Digital Cultural Tourism System

Posted on:2022-11-26Degree:MasterType:Thesis
Country:ChinaCandidate:Z M LiFull Text:PDF
GTID:2518306752493444Subject:Tourism
Abstract/Summary:PDF Full Text Request
Qinghai province is rich in cultural and tourism resources,including the household name "Salt Lake of the Sky" and Qinghai Lake,the uninhabited Cocosili Nature Reserve,as well as the strong Tibetan culture,represented by the Tibetan Culture Museum and one of the six Tibetan Buddhist monasteries.However,a large number of tourism resources lead users to face difficulties in choosing,or cannot better select a suitable travel route for themselves.In response to the above problems,and in order to respond to the "14th Five-Year Plan" of tourism development in Qinghai Province,this thesis,with the support of the provincial project of Qinghai Province,designs a digital tourism and cultural resources service platform for the western Tibetan area.In this thesis,with the support of the provincial project of Qinghai Province,we design the operation mode of the "Great Beauty Qinghai" digital tourism and cultural resources service platform in the western Tibetan area,and construct the information sharing system of Qinghai tourism culture with "Great Beauty Qinghai" as the core.The research work of this thesis has three main parts.1.This thesis proposes the recommendation of similar attractions for tourists from other provinces,based on the association rule algorithm,and uses the improved weighted association rule algorithm of FP tree to dig out the popular attractions for users.It can make users get a very good experience,understand the characteristics of Qinghai intuitively,and leave a good impression of Qinghai,and also attract users to come back for a second trip.2.Although the recommendation of similar attractions can meet the basic needs of users,the recommendation of similar attractions is not personalized enough for tourists who want to know different scenery.Therefore,this thesis designs self-driving route planning for locals who know the routes in Qinghai Province.This thesis deeply studies the top ten classic self-driving routes in Qinghai Province,adopts the LDA theme model that best expresses the text semantics,extracts the themes of the ten self-driving routes,and then adds the anti-popularity function to recommend the most personalized self-driving routes to tourists.3.The digital cultural tourism system of Qinghai Great Beauty is designed and realized,integrating Qinghai tourism,Tibetan culture,and hot-gong art,etc.The system of establishing a one-stop library of local cultural resources of Qinghai is studied in depth,providing a platform for the public to know Qinghai more comprehensively.
Keywords/Search Tags:LDA model, attraction profiling, route recommendation, weighted association rule algorithm
PDF Full Text Request
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