本文選題：旅游電商平臺 + 個性化推薦�。� 參考：《東華大學(xué)》2017年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展,人們對于旅游產(chǎn)品的預(yù)定方式也發(fā)生了顯著的變化,更多游客傾向于在線預(yù)訂旅游產(chǎn)品,傳統(tǒng)旅游企業(yè)向旅游電商平臺轉(zhuǎn)型已經(jīng)成為一種趨勢。本論文的主要工作是為某傳統(tǒng)旅游企業(yè)設(shè)計并開發(fā)了一個基于個性化推薦的旅游電商平臺。該企業(yè)是一家傳統(tǒng)旅游企業(yè),由于沒有基于互聯(lián)網(wǎng)的電商平臺,產(chǎn)品銷售的模式主要依靠線下門市部柜臺預(yù)定以及電話預(yù)定等,存在生產(chǎn)效率低下、訂單無法統(tǒng)一管理及用戶下單和支付不方便等缺點。隨著該旅游企業(yè)在業(yè)務(wù)規(guī)模上的發(fā)展,迫切需要設(shè)計并開發(fā)一個旅游電商平臺來提高公司運營效率和經(jīng)營效益。同時,為了提升企業(yè)的競爭力,該企業(yè)也希望能夠為客戶提供一些特色服務(wù),如旅游產(chǎn)品個性化推薦和團體行程個性化定制等。本文通過對該旅游企業(yè)的基本情況分析,基于MVC架構(gòu)設(shè)計并開發(fā)了旅游電商平臺,整合了企業(yè)資源,實現(xiàn)了旅游產(chǎn)品在線發(fā)布和銷售,擴大了旅游信息的傳播和推廣。同時為了滿足企業(yè)精準(zhǔn)化、特色化營銷的需求,在該平臺的基礎(chǔ)上,一方面利用獲取的客戶的歷史行為數(shù)據(jù)等信息,采用推薦算法實現(xiàn)了旅游產(chǎn)品的個性化推薦;另一方面采用隨機優(yōu)化技術(shù)解決了大型會議組織過程中存在的行程規(guī)劃問題,實現(xiàn)團體行程的個性化定制及優(yōu)化。本文的工作內(nèi)容主要有以下四點:(1)使用MVC架構(gòu)設(shè)計實現(xiàn)了旅游電商平臺。采用分層設(shè)計的思想,降低了每一層代碼之間的耦合度,便于對業(yè)務(wù)代碼進行修改和維護,使得功能模塊的復(fù)用更加容易。(2)通過對常用的個性化推薦技術(shù)在旅游產(chǎn)品推薦中存在的問題進行分析,對協(xié)同過濾算法做出改進,提出了一種面向旅游產(chǎn)品的個性化推薦算法,并將該算法應(yīng)用于旅游電商平臺的產(chǎn)品推薦模塊,最后對該算法的推薦效果進行了測試與分析,驗證了該算法在旅游產(chǎn)品推薦中的有效性。(3)通過對全國性大型會議的會務(wù)行程安排中存在的問題進行分析,研究并實現(xiàn)了面向個性化定制的團體行程優(yōu)化方法,該方法通過建立成本函數(shù),基于遺傳算法為會議舉辦方定制最優(yōu)化的行程方案,使得舉辦方可以花費更少的預(yù)算。(4)使用云平臺的部署方案,使用Redis優(yōu)化數(shù)據(jù)庫存儲,使用負(fù)載均衡技術(shù)避免單點故障,保證旅游電商平臺系統(tǒng)的拓展性、穩(wěn)定性和可用性。
[Abstract]:With the development of Internet technology, the way of booking tourism products has changed significantly, more tourists tend to book tourism products online, and it has become a trend for traditional tourism enterprises to transform to tourism e-commerce platform. The main work of this paper is to design and develop a tourism ecommerce platform based on personalized recommendation for a traditional tourism enterprise. The enterprise is a traditional tourism enterprise. Because there is no e-commerce platform based on the Internet, the mode of product sales mainly depends on the offline counter booking and telephone reservation, etc., so the production efficiency is low. Order can not be unified management and user order and payment inconvenient and other shortcomings. With the development of the tourism enterprise in the business scale, it is urgent to design and develop a tourism e-commerce platform to improve the operational efficiency and efficiency of the company. At the same time, in order to enhance the competitiveness of the enterprise, the enterprise also hopes to provide customers with some special services, such as personalized recommendation of tourism products and personalized customization of group itinerary. Based on the analysis of the basic situation of the tourism enterprise, this paper designs and develops a tourism e-commerce platform based on MVC architecture, integrates the enterprise resources, realizes the online publication and sale of tourism products, and expands the dissemination and promotion of tourism information. At the same time, in order to meet the needs of enterprise precision and characteristic marketing, on the basis of the platform, on the one hand, using the historical behavior data of customers, the recommendation algorithm is used to realize the personalized recommendation of tourism products. On the other hand, the random optimization technology is used to solve the problem of travel planning in the process of large-scale conference organization, and to realize the personalized customization and optimization of group itinerary. The main contents of this paper are as follows: (1) using MVC architecture to design and implement the tourism e-commerce platform. By adopting the idea of hierarchical design, the coupling degree between each layer of code is reduced, and the business code can be modified and maintained easily. Make the reuse of function modules easier. (2) by analyzing the problems of the commonly used personalized recommendation technology in tourism product recommendation, the collaborative filtering algorithm is improved, and a personalized recommendation algorithm for tourism products is proposed. The algorithm is applied to the product recommendation module of the tourism e-commerce platform. Finally, the recommendation effect of the algorithm is tested and analyzed. The validity of the algorithm in tourism product recommendation is verified. (3) by analyzing the problems existing in the meeting scheduling of a large national conference, a group travel optimization method for personalized customization is studied and realized. By establishing a cost function and customizing the optimal itinerary scheme for the conference organizer based on genetic algorithm, the method allows the organizer to spend less budget. (4) using the deployment scheme of the cloud platform, using Redis to optimize the database storage, Load balancing technique is used to avoid single-point failure and to ensure the expansibility, stability and availability of the tourism ecommerce platform system.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.3

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