Web user segmentation using sequence alignment
Nowadays, with the rapid advances in e-commerce, user interest understanding becomes more and more essential in order to benefit the business. Users reveal this kind of interest through their behavior during their sessions in e-commerce applications. In this paper...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE
2017-12-01
|
| Series: | Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ |
| Subjects: | |
| Online Access: | https://journalofscience.ou.edu.vn/index.php/tech-vi/article/view/817 |
| _version_ | 1818440856966791168 |
|---|---|
| author | Lưu Vĩnh Trung |
| author_facet | Lưu Vĩnh Trung |
| author_sort | Lưu Vĩnh Trung |
| collection | DOAJ |
| description | Nowadays, with the rapid advances in e-commerce, user interest understanding becomes more and more essential in order to benefit the business. Users reveal this kind of interest through their behavior during their sessions in e-commerce applications. In this paper, we present the approach using sequence alignment for web sessions to evaluate the user behavior similarity in order to segment them. The segmentation result is applicable for real-time web prediction and recommendation. |
| first_indexed | 2024-12-14T18:19:01Z |
| format | Article |
| id | doaj.art-da416d8baf1243fca71d10649e233ad9 |
| institution | Directory Open Access Journal |
| issn | 2734-9322 2734-9594 |
| language | English |
| last_indexed | 2024-12-14T18:19:01Z |
| publishDate | 2017-12-01 |
| publisher | HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ |
| spelling | doaj.art-da416d8baf1243fca71d10649e233ad92022-12-21T22:52:07ZengHO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCETạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ2734-93222734-95942017-12-011211217689Web user segmentation using sequence alignmentLưu Vĩnh Trung0Trường Đại học Mở Thành phố Hồ Chí MinhNowadays, with the rapid advances in e-commerce, user interest understanding becomes more and more essential in order to benefit the business. Users reveal this kind of interest through their behavior during their sessions in e-commerce applications. In this paper, we present the approach using sequence alignment for web sessions to evaluate the user behavior similarity in order to segment them. The segmentation result is applicable for real-time web prediction and recommendation.https://journalofscience.ou.edu.vn/index.php/tech-vi/article/view/817khai phá dữ liệu webso sánh chuỗiphân loại người dùngthương mại điện tử. |
| spellingShingle | Lưu Vĩnh Trung Web user segmentation using sequence alignment Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ khai phá dữ liệu web so sánh chuỗi phân loại người dùng thương mại điện tử. |
| title | Web user segmentation using sequence alignment |
| title_full | Web user segmentation using sequence alignment |
| title_fullStr | Web user segmentation using sequence alignment |
| title_full_unstemmed | Web user segmentation using sequence alignment |
| title_short | Web user segmentation using sequence alignment |
| title_sort | web user segmentation using sequence alignment |
| topic | khai phá dữ liệu web so sánh chuỗi phân loại người dùng thương mại điện tử. |
| url | https://journalofscience.ou.edu.vn/index.php/tech-vi/article/view/817 |
| work_keys_str_mv | AT luuvinhtrung webusersegmentationusingsequencealignment |