[Purpose/significance] This paper tries to build a recommendation model of hot TOP books for college students and provides a reference for the academic libraries' reading promotion. [Method/process] Based on the collation, analysis and mining of the retrieval data from 89 domestic university libraries' OPAC, this article analyses and evaluates the reading tendency of academic students by means of the all-around evaluation theory system and the combination of AHP and decision tree model. [Result/conclusion] The paper, through prediction and evaluation, finally proves that the model is reasonable and accurate, and has important practical significance.
Liu Lifan
,
Zhu Ziyang
. Research on the Recommendation Model of Academic Libraries' Hot TOP Books Based on the All-around Evaluation Theory[J]. Library and Information Service, 2018
, 62(7)
: 47
-53
.
DOI: 10.13266/j.issn.0252-3116.2018.07.006
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