ABSTRACT

Aiming at the relatively large amount of library literature resources, a fast retrieval method for massive library literature resources based on an online hash algorithm is designed. The Pearson correlation coefficient is used to calculate the correlation between library literature resources, the collaborative filtering algorithm is used to realize the library literature resource mining based on the calculation results, and the least squares method is used to filter the nonsignificant data features in the mining results. Construct a Hash-B-tree to search the user’s library literature resources on a certain day, design a hash function lookup table to manage inactive metadata, and use fuzzy theory to simulate data with similar characteristics in the data divergence measurement sample, minimize the divergence of the sample data, and finally visualize the retrieval results based on the subject hierarchical relationship. The experimental results show that this method has the advantages of higher retrieval result accuracy, faster retrieval efficiency, and higher comprehensiveness of retrieval results.

Issue Section:
Technical Manuscript
Keywords:
online hash algorithm, resource retrieval, least squares method, collaborative filtering algorithm, Hash-B-tree

References

1.
M.
 
Zhao
, “
Information Iterative Retrieval of Internet of Things Communication Terminal Based on Symmetric Algorithm
,”
Wireless Personal Communications
117
, no. 
4
(April
2021
):
3469
–
3485
,
Google Scholar
Crossref
Search ADS
 
2.
K.
 
Huang
,
G.
 
Li
, and
J.
 
Wang
, “
Rapid Retrieval Strategy for Massive Remote Sensing Metadata Based on GeoHash Coding
,”
Remote Sensing Letters
10
, no. 
2
(
2019
):
111
–
119
,
Google Scholar
Crossref
Search ADS
 
3.
G.
 
Jin
,
Y.
 
Zhang
, and
K.
 
Lu
, “
Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval
,”
Chinese Journal of Electronics
28
, no. 
6
(November
2019
):
1191
–
1197
,
Google Scholar
Crossref
Search ADS
 
4.
X.
 
Tang
,
C.
 
Liu
,
J.
 
Ma
,
X.
 
Zhang
,
F.
 
Liu
, and
L.
 
Jiao
, “
Large-Scale Remote Sensing Image Retrieval Based on Semi-supervised Adversarial Hashing
,”
Remote Sensing
11
, no. 
17
(September
2019
):
2055
,
Google Scholar
Crossref
Search ADS
 
5.
H. B.
 
Niu
,
D. Q.
 
Zhao
, and
Q. Y.
 
Guo
, “
Research on Paper Embedding and Retrieval Method Based on BERT and Citation Context
” (in Chinese),
Information Studies: Theory & Application
43
, no. 
9
(
2020
):
125
–
131
,
6.
J. L.
 
Wang
, “
Design of Digital Library Information Retrieval Model Based on Big Data Analysis Technology
” (in Chinese),
Modern Electronics Technique
43
, no. 
17
(July
2020
):
155
–
157
,
161
,
7.
Y.
 
Xie
 and
G.
 
Zeng
, “
Text Search Method Based on Trust Semantics Deep Learning Neural Network
” (in Chinese),
Computer Engineering and Applications
55
, no. 
3
(
2019
):
96
–
103
,
8.
T. G.
 
Kim
,
Y. R.
 
Lee
,
B. J.
 
Kang
, and
E. G.
 
Im
, “
Binary Executable File Similarity Calculation Using Function Matching
,”
The Journal of Supercomputing
75
, no. 
2
(February
2019
):
607
–
622
,
Google Scholar
Crossref
Search ADS
 
9.
K. G.
 
Jahromi
,
D.
 
Gharavian
, and
H.
 
Mahdiani
, “
A Novel Method for Day-Ahead Solar Power Prediction Based on Hidden Markov Model and Cosine Similarity
,”
Soft Computing
24
, no. 
7
(April
2020
):
4991
–
5004
,
Google Scholar
Crossref
Search ADS
 
10.
S.
 
Kim
,
H.
 
Kim
, and
J.-K.
 
Min
, “
An Efficient Parallel Similarity Matrix Construction on MapReduce for Collaborative Filtering
,”
The Journal of Supercomputing
75
, no. 
1
(January
2019
):
123
–
141
,
Google Scholar
Crossref
Search ADS
 
11.
R. H.
 
Poirier
,
N.
 
Galanis
, and
M.
 
Sorin
, “
Performance of Heat Transport Systems: Least Square Method Generated Correlations of Non-dimensional Variables
,”
Energy Efficiency
12
, no. 
6
(August
2019
):
1491
–
1508
,
Google Scholar
Crossref
Search ADS
 
12.
S. A. A.
 
Hakeem
,
M. A. A.
 
El-Gawad
, and
H.
 
Ki
, “
Comparative Experiments of V2X Security Protocol Based on Hash Chain Cryptography
,”
Sensors
26
, no. 
19
(October
2020
):
5719
,
Google Scholar
Crossref
Search ADS
 
13.
R. C.
 
Belwal
,
S.
 
Rai
, and
A.
 
Gupta
, “
Text Summarization Using Topic-Based Vector Space Model and Semantic Measure
,”
Information Processing & Management
58
, no. 
3
(May
2021
):
102536
,
Google Scholar
Crossref
Search ADS
 
14.
T.
 
Konkle
, “
Emergence of Multiple Retinotopic Maps without a Feature Hierarchy
,”
Journal of Vision
19
, no. 
10
(September
2019
):
90a
,
Google Scholar
Crossref
Search ADS
 
15.
L.-H.
 
Yao
 and
G.-Z.
 
Yu
, “
Relational Database Information Resource Retrieval Result Classification Method Simulation
” (in Chinese),
Computer Simulation
36
, no. 
1
(
2019
):
445
–
448
,
Copyright © 2022
 by ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959
You do not currently have access to this content.