Improved web page recommender system based on web usage mining
Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs.This paper focuses on improving...
| Main Authors: | , , , |
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| Formato: | Conference or Workshop Item |
| Idioma: | English |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://repo.uum.edu.my/id/eprint/13603/1/32.pdf |
| _version_ | 1825803216152952832 |
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| author | Al Murtadha, Yahya Sulaiman, Md Nasir Mustapha, Norwati Udzir, Nur Izura |
| author_facet | Al Murtadha, Yahya Sulaiman, Md Nasir Mustapha, Norwati Udzir, Nur Izura |
| author_sort | Al Murtadha, Yahya |
| collection | UUM |
| description | Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs.This paper focuses on improving the prediction of the next visited web pages and recommends them to the current anonymous user by assigning him to the best navigation profiles obtained by previous navigations of similar interested users.To represent the anonymous user’s navigation
history, we used a window sliding method with size n over his current navigation session. Using CTI dataset the experimental results show higher
prediction accuracy for the next visited pages for anonymous users compared to previous recommendation system. |
| first_indexed | 2024-07-04T05:53:13Z |
| format | Conference or Workshop Item |
| id | uum-13603 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:53:13Z |
| publishDate | 2011 |
| record_format | eprints |
| spelling | uum-136032015-04-07T04:04:49Z https://repo.uum.edu.my/id/eprint/13603/ Improved web page recommender system based on web usage mining Al Murtadha, Yahya Sulaiman, Md Nasir Mustapha, Norwati Udzir, Nur Izura T Technology (General) Web now becomes the backbone of the information. Today the major concerns are not the availability of information but rather obtaining the right information. Mining the web aims at discovering the hidden and useful knowledge from web hyperlinks, contents or usage logs.This paper focuses on improving the prediction of the next visited web pages and recommends them to the current anonymous user by assigning him to the best navigation profiles obtained by previous navigations of similar interested users.To represent the anonymous user’s navigation history, we used a window sliding method with size n over his current navigation session. Using CTI dataset the experimental results show higher prediction accuracy for the next visited pages for anonymous users compared to previous recommendation system. 2011-06-08 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13603/1/32.pdf Al Murtadha, Yahya and Sulaiman, Md Nasir and Mustapha, Norwati and Udzir, Nur Izura (2011) Improved web page recommender system based on web usage mining. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia. http://www.icoci.cms.net.my |
| spellingShingle | T Technology (General) Al Murtadha, Yahya Sulaiman, Md Nasir Mustapha, Norwati Udzir, Nur Izura Improved web page recommender system based on web usage mining |
| title | Improved web page recommender system based on web usage mining |
| title_full | Improved web page recommender system based on web usage mining |
| title_fullStr | Improved web page recommender system based on web usage mining |
| title_full_unstemmed | Improved web page recommender system based on web usage mining |
| title_short | Improved web page recommender system based on web usage mining |
| title_sort | improved web page recommender system based on web usage mining |
| topic | T Technology (General) |
| url | https://repo.uum.edu.my/id/eprint/13603/1/32.pdf |
| work_keys_str_mv | AT almurtadhayahya improvedwebpagerecommendersystembasedonwebusagemining AT sulaimanmdnasir improvedwebpagerecommendersystembasedonwebusagemining AT mustaphanorwati improvedwebpagerecommendersystembasedonwebusagemining AT udzirnurizura improvedwebpagerecommendersystembasedonwebusagemining |