Based On Association Rule Book Sales Website Design And Implementation Of Personalized Recommendation System

As the development of the technology of internet, the internet become more andmore popular, a large amount of data is showing up gradually, and increasingexponentially. As the increase, user to find the information form the massive data isbecoming more and more difficult, the digital library is facing a situation that the usercan not find the book in the library which the want to get.In order to help the readers to find the information they want to get, PersonalizedRecommender Systems have become an important research area for online book salessystem, and be used more and more widely in the online book sales system. Manyengineers have joined the job for the disseverments and research of the personalizedrecommender systems. Collaborative Filtering and Association Rules is the mostimportant research point for the personalized recommender systems. The thesisintroduces the personalized recommender systems briefly, and makes a deep researchfor the recommender systems based on Association RulesThe thesis introduces the most important algorithms base on association rules,which is FP-growth and apriori. Besides the thesis make a deeply research to apriori,according to the character of the online book sales system, sorts out the books into tokinds of subclass, the applies the apriori algorithm in each subclass of books, generatethe recommended books in each subclass, when the system need to recommend booksto readers, generate the recommended books in each subclass, then make acombination recommended books from the subclass, at last recommends thecombination books to the readers, the personality recommender systems of the onlinebooks sales system researched in the thesis generates the recommended books bothform the user’s tradition and the reader’s browse, the system improves accuracy andflexibility of the recommended books much more.The thesis achieve the recommended system for the online book sales system byC language, MySQL as database, visual c++6.0as development environment. Thentest the recommended system for the online book sales system both from subjective aspect and objective, test the effect for recommend and the performance of thealgorithms, at last the thesis summarized the researched recommended system for theonline book sales system, and give a outlook to the development of the recommendedsystems in future.