Research on library personalized service based on apriori algorithm

With the development of digital network information technology, it is very important to use data mining technology to mine useful information. The library personalized service can make the library work more effectively by using data mining technology. Apriori algorithm is a classic algorithm in data mining technology. In this paper, the library personalized service was researched by using the Apriori algorithm. The concept and basic principle of data mining technology and association rules were mainly elaborated, and a classical algorithm, the Apriori algorithm in association rule was analyzed. Based on the traditional algorithm, the Apriori algorithm was improved, the new algorithm H_Apriori algorithm was obtained, and the new algorithm was compared with the Apriori algorithm. A library personalized service system was constructed based on the improved algorithm, which is based on the information of the library database. The experimental evaluation was carried out on the constructed system.