摘    要

个性化推荐是根据用户的个人兴趣和行为模式,向用户推荐其感兴趣的产品或服务。随着近些年电子商务平台的不断增多,电子商务消费规模的不断扩大,用户越来越难以在繁杂的互联网上找到自己心仪的产品,或是其花费的时间成本远超预期。而这个问题带给商家的就是客户的流失和经济利益的直接受损。那么,为了解决此类问题,个性化推荐系统应运而生。85394

本文的研究对象是基于大数据下的个性化推荐系统。首先,介绍论文相关的基础概念、特点和技术。然后,在基于大数据背景下,搭建在电子商务平台中用户购物行为的影响因素模型,对用户购买的个性化推荐产品进行分析。结合具体的电子商务平台分析个性化推荐造成的影响,说明大数据在个性化推荐过程中起到的相关作用。

电子商务是当下最为流行的购物消费方式,而大数据更是未来时代发展不可避免的趋势。繁杂的数据看似无用,实则是我们没有有效的找到有用的信息并加以利用。那么,本文将结合具体案例来分析大数据与个性化推荐的关系。同时,分析大数据在电子商务领域个性化推荐方面可能的作用模式与方向。对电子商务个性化推荐有一定的推动作用。

毕业论文关键词:大数据、电子商务、个性化推荐

Abstract

Personalized recommendation is according to the user's interests and behavior patterns, referring users to its product or service of interest。 With the increasing of e-commerce platform in recent years, the continuous expansion of consumption, e-commerce users more and more difficult to multifarious, to find the desired products on the Internet or the cost of time cost far more than expected。 And the question to the merchant's is the loss of customers and economic benefits directly。 So, in order to solve such problems, personalized recommendation system arises at the historic moment。 

The research object of this article is based on the personalized recommendation system under the big data。 First of all, introduce the basis of the papers related to the concept, characteristic and technology。 Then, under the background of based on big data, build customer shopping behavior in the e-commerce platform model of influence factors for the user to buy the personalized recommendation of products were analyzed。 Combined with specific e-commerce platform analysis the impact of personalized recommendation, that big data in the process of personalized recommendation of related effect。 源Q于W优H尔J论K文M网WwW.youeRw.com 原文+QQ75201.,8766

Electronic commerce is the most popular way of shopping consumption, and big data is inevitable trend of development of The Times in the future。 Multifarious data seems to be useless, but is no effective we find useful information and take advantage of。 So, this article will combine specific case to analyze big data and the relationship between the personalized recommendation。 At the same time, the analysis of big data in the field of electronic commerce in personalized recommendation possible action mode and direction。 Personalized recommendation to the electronic commerce has a certain role in promoting。 

Keywords: big data, e-commerce, personalized recommendation 

目    录

摘要 2

Abstract 2

1绪论 5

1。1研究背景及意义 5

1。2国内外研究现状 5

1。2。1国外研究综述 5

1。2。2国内研究综述 5

1。3主要研究方法与内容

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