基于Mahout的图书智能检索系统的研究与应用

发布时间：2018-04-01 14:11

本文选题：数据挖掘　切入点：Mahout框架　出处：《东北师范大学》2015年硕士论文

【摘要】：随着互联网技术的不断发展,人们对信息和知识的需求不断膨胀,如何为用户提供更加准确和人性化的检索结果成为信息检索近年来的研究热点。而在校学生成为知识和信息最大的需求群体,在图书馆数字化进程中起到了重要的作用。图书馆的数字化使读者使用图书馆更加方便快捷,提高了图书馆的使用效率。但图书馆的图书存储数量不断增多,图书馆的管理和服务也需要进一步的完善,以满足用户的需要,使数字图书馆建设面临巨大挑战。数字图书馆产生的大量的图书信息和借阅历史信息,为数字图书馆提高服务水平提供了数据基础。本文论述了使用数据挖掘的相关思想挖掘读者借阅信息,使用多维度评分算法,从读者借阅历史数据中,分析读者对图书的评分,通过协同过滤推荐算法并使用Mahout框架,在读者检索图书时提供更加智能的检索结果。另一方面根据检索结果优化算法对检索结果进行优化,方便读者检索到对自己有用的图书信息。本文主要讨论使用协同过滤推荐技术并在Mahout框架的基础上,开发并实现图书的智能检索系统,达到为读者提供优化的检索结果和个性化推荐信息的目的。
[Abstract]:With the development of Internet technology, the demand for information and knowledge is expanding. How to provide users with more accurate and humanized retrieval results has become a hot research topic in information retrieval in recent years. It has played an important role in the digitization process of the library. The digitization of the library makes it easier and faster for readers to use the library, and improves the efficiency of the use of the library. However, the number of books stored in the library is increasing continuously. The management and service of libraries also need to be further improved to meet the needs of users and to make the construction of digital libraries face great challenges. This paper discusses how to mine readers' borrowing information by using data mining, how to use multi-dimensional scoring algorithm, and how to analyze the readers' scores on books from the historical data borrowed by readers, which provides a data basis for improving the service level of digital libraries. Through collaborative filtering recommendation algorithm and using Mahout framework, it provides more intelligent retrieval results when readers retrieve books. On the other hand, according to the optimization algorithm of retrieval results, the retrieval results are optimized. This paper mainly discusses how to develop and implement an intelligent book retrieval system based on Mahout framework, which is based on collaborative filtering and recommendation technology. The aim of this paper is to provide the readers with optimized retrieval results and personalized recommendation information.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：G250.7;TP391.3

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