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Research on Commodity Mixed Recommendation Algorithm Cover
By:  and    
Open Access
|Oct 2020

Figures & Tables

Figure 1.

Hierarchical model diagram

TABLE I.

RI VALUE TABLE

n1234567891011
RI000.580.901.121.241.321.411.451.491.51
Figure 2.

Schematic diagram of algorithm fusion process

Figure 3.

The relationship between decision tree and result in random forest model

Figure 4.

The relationship between the number of features and the results in the random forest model

TABLE II.

RANDOM FOREST MODEL FINAL EXPERIMENTAL RESULTS

AccuracyRecall rateF measure
7.197.217.20
TABLE III.

USER BEHAVIOR WEIGHT

Interaction typeweight
Click0.08
Collection0.12
Add to cart0.30
Buy0.50
Figure 5.

The relationship between the recommended number of collaborative filtering algorithms and the result

TABLE IV.

EXPERIMENTAL RESULTS OF FUSION ALGORITHM

AccuracyRecall rateF measure
7.337.427.35
Figure 6.

Time comparison chart

Language: English
Page range: 1 - 8
Published on: Oct 14, 2020
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Hao Chang, Shengquan Yang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.