Accesso libero

Deep Learning-based User Behavior Data Mining in Precise Recommendation of E-commerce Platforms

Lanyan Yang

Lanyan Yang

Guizhou University of CommerceGuiyang, China
Cerca questo autore su
Sciendo|Google Scholar
Yang, Lanyan
  
17 mar 2025
Deep Learning-based User Behavior Data Mining in Precise Recommendation of E-commerce Platforms's Cover Image
INFORMAZIONI SU QUESTO ARTICOLO
Articolo precedente
Articolo Successivo
Cita
Scarica la copertina
Pubblicato online: 17 mar 2025
Ricevuto: 16 ott 2024
Accettato: 28 gen 2025
DOI: https://doi.org/10.2478/amns-2025-0327
Parole chiave
© 2025 Lanyan Yang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

The structure of PMCA-BiLSTM model
The structure of PMCA-BiLSTM model

Figure 2.

System architecture
System architecture

Figure 3.

User registration and login module
User registration and login module

Figure 4.

Accurate recommendation module for goods
Accurate recommendation module for goods

Figure 5.

Comparison of evaluation indicators results
Comparison of evaluation indicators results

Figure 6.

The evaluation index changes with the number of iterations
The evaluation index changes with the number of iterations

Figure 7.

Comparison of the evaluation indexes under different Top-K
Comparison of the evaluation indexes under different Top-K

Data set statistics used in experiments

Tags Yoochoose1/64 Diginetica
Click number 605134 993528
Training session 372496 725681
Test session 59759 61543
Commodity number 17355 44262
Average length 6.22 5.34

Performance and stress test results of the system

Tags Sample size Average response time/ms Median response time /ms The first 90% response time /ms The first 99% response time/ms Response time minimum/ms Maximum response time/ms Error rate
Log-in 1600 128 84 159 347 58 482 0.00%
Click 3200 56 41 68 239 52 354 0.00%
Collect 2000 65 49 75 226 35 417 0.00%
Purchase 1600 291 173 329 648 121 2213 0.00%
Evaluation 1200 535 378 691 2384 171 2796 0.00%
Personalized recommendation 3200 296 281 397 715 178 969 0.00%
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
Feed RSS della rivista