Establishment and simulation of mining model for interest preference of readers in book information retrieval
FENG Jing
ZHANG Fu-quan
Abstract：Aiming at the problem that such detects as low mining efficiency and large error always exist when the traditional mining model is used to mine the interest preference data of readers in the book information retrieval, a mining model for the interest preference of readers was proposed.The distance between the book similarity and reader interest was calculated with the classification index distribution tree method.In addition, the interest preference level was measured through interest factor.On this basis, the interest book retrieval for readers was extended with the relevance feedback model Rocchio algorithm, and the mining model for interest preference of readers in the book information retrieval was established with the clustering analysis method.The results show that the mining efficiency, time and error of the improved model are superior to those of the traditional models.
Keywords：book informationretrievalinterest preference of readersmining modelinterest factorinterest in distancebook similarityextension
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 188-192 )