英国论文相似度多少算抄袭:将CBR视为解决问题的一种方法

英国论文相似度多少算抄袭:将CBR视为解决问题的一种方法

在电子商务的网站上,有一种利用推荐系统来帮助顾客根据他们的需要来选择产品。商业向消费者电子商务和互联网的发展,增加了引进新技术的需求。近年来,许多研究项目都将重点放在推荐系统上。这些系统有助于随着时间的推移了解用户的偏好,同时自动提示与所学习的用户模型一致的产品。基于案例的推理(CBR)可以被认为是最成功的机器学习方法之一,它可以帮助开发应用领域中丰富的知识表示。从基本意义上讲,CBR可以看作是一种解决问题的方法,这种新问题是通过对已经解决的、过去类似的案例的初始检索来解决的。然后重用这个案例来解决当前的问题。当CBR的应用最容易生成推荐时,案例模型的基础产品推荐和重点是检索推荐或建议产品的组合,寻找与用户提供的完整或部分描述相似的产品。在这些类型的方法中,必须以相同对象的形式考虑产品和案例。


英国论文相似度多少算抄袭:将CBR视为解决问题的一种方法
与案例相关的问题的组成部分具有产品某些特性的典型表示。这些是由用户声明的,与案例相关的解决方案组件是产品本身。基本上,CBR是一种解决问题的方法,它首先检索过去已经解决的类似案例,然后重用该案例来解决当前问题,从而解决新问题。在CBR用于推荐生成的最直接的应用程序中,案例库对要推荐的产品建模,通过搜索与用户部分描述的产品相似的产品,从案例库检索推荐/推荐的产品集。在这些方法中,案例和产品本质上被视为相同的对象。案例的问题组件通常由用户指定的一组产品特性表示,案例的解决方案组件是产品本身。电子商务网站已经开始使用推荐系统向顾客推荐产品,提高了顾客的购买率。目前最流行的推荐技术是协同过滤方法,它将顾客对新产品推荐的偏好数据进行聚合。

英国论文相似度多少算抄袭:将CBR视为解决问题的一种方法

There has been a utilization of recommender systems in web- sites of e- commerce for assisting customers in the selection of product as per the suitability of their needs. The growth of business to consumer e-commerce and internet has resulted in increasing the need for introducing new technologies. Since recent years, several research projects have key focus on recommender system. These systems help in learning about the preferences of user with time, while automatically suggesting the products that are in alignment with the learned user model. Case- Based Reasoning (CBR) can be considered as among the most successful methodologies of machine learning that assist in the exploitation of knowledge- rich representation in the domain of the application. In the basic sense, CBR can be considered as a methodology for solving problem such a new problem is addresses by the initial retrieval of already solved, past similar case. This case is then reused to solve the current issue. When the application of CBR is most straightforward to generating recommendation, the base of case models the recommendation of product and focus is on retrieving the combination of recommended or suggested products by looking for products having similarity with full or partial description provided by the user. In these types of approach, there is an essential consideration of a product and a case in the form of identical objects.


英国论文相似度多少算抄袭:将CBR视为解决问题的一种方法
The component of problem related to the case is provided with a typical representation of certain features of the product. These are the ones as stated by the user and the component of solution related to the case turns out to be the product itself.Basically, CBR is a problem solving methodology that addresses a new problem by first retrieving a past, already solved similar case, and then reusing that case for solving the current problem. In the most straightforward application of CBR to recommendation generation, the case base models the products to be recommended and the set of suggested/recommended products is retrieved from the case base by searching for products similar to that partially described by the user. In these approaches a case and a product are essentially considered as identical objects. The problem component of the case is typically represented by a set of product features, those specified by the user, and the solution component of the case is the product itself. Sites of e-commerce have started to use recommender systems for the suggestion of products to the customers and improving the ratio of look to buy. The most popular technique for recommendation is the approach of collaborative filtering which results in aggregating data about the preferences of customer for the recommendation of new products.

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