| Autor: |
Bharathi, R., Juliet, A. Noble Mary, Valarmathi, M. L. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2587 Issue 1, p1-6, 6p |
| Abstrakt: |
Online shopping has earned a huge popularity nowadays. E-commerce companies tries to bridge the needs of producers and customers. Recommendation system is a one of the technique carried out by e-commerce to increase customer's satisfaction. Recommendation system helps in suggesting products to buy based on the consumer activities. Sequential pattern mining is one of the data mining task specialized for analyzing sequential data to discover the common sub-sequences and patterns that are occurring in a given set of sequences. Prefix Span algorithm is one of the sequential pattern mining approaches for finding frequent sub-sequences greater than minimum support. This paper proposes a sequential pattern mining approach using Prefix Span algorithm for recommender system in e-commerce application. The experimental results validate the Precision and recall of the recommender system. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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