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Journals
International Journal of Advanced Network, Monitoring and Controls
Volume 5 (2020): Issue 3 (January 2020)
Open Access
Research on Commodity Mixed Recommendation Algorithm
Hao Chang
Hao Chang
and
Shengquan Yang
Shengquan Yang
| Oct 14, 2020
International Journal of Advanced Network, Monitoring and Controls
Volume 5 (2020): Issue 3 (January 2020)
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Published Online:
Oct 14, 2020
Page range:
1 - 8
DOI:
https://doi.org/10.21307/ijanmc-2020-021
Keywords
E-Commerce
,
Recommendation Algorithm
,
Decision Tree
,
Collaborative Filtering
© 2020 Hao Chang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Hierarchical model diagram
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
Figure 5.
The relationship between the recommended number of collaborative filtering algorithms and the result
Figure 6.
Time comparison chart
RI VALUE TABLE
n
1
2
3
4
5
6
7
8
9
10
11
RI
0
0
0.58
0.90
1.12
1.24
1.32
1.41
1.45
1.49
1.51
EXPERIMENTAL RESULTS OF FUSION ALGORITHM
Accuracy
Recall rate
F measure
7.33
7.42
7.35
RANDOM FOREST MODEL FINAL EXPERIMENTAL RESULTS
Accuracy
Recall rate
F measure
7.19
7.21
7.20
USER BEHAVIOR WEIGHT
Interaction type
weight
Click
0.08
Collection
0.12
Add to cart
0.30
Buy
0.50