Open AccessAn improved model of document retrieval efficiency based on information theory
Author(s) -
Xiaoli Li,
Yin Xiaokai,
Kan Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012094
Subject(s) - computer science , information retrieval , data retrieval , human–computer information retrieval , vector space model , document retrieval , set (abstract data type) , data mining , search engine , programming language
Literature retrieval is an important auxiliary work of scientific research. The form of literature retrieval is becoming more and more abundant, the number of literature is huge, and the storage set is complex. The algorithm of retrieval tools directly affects the accuracy and efficiency of retrieval. Based on the analysis of the problems existing in various literature retrieval technologies, an improved TF-IDF literature retrieval efficiency model is proposed. It provides a new idea for the design and implementation of literature retrieval system.