A web personalization system based on users&amp;#x2019; interested domains

Lei, Minxiao; Fan, Lisa

doi:10.1109/coginf.2008.4639163

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…In Wrapper generation, web page data can be extracted using HTML wrapper. Here the data is DOM tree which is constructed by web browser [1,2,6]. …”

Section: Methodsmentioning

confidence: 99%

“…When a user visits the website, the user's HTTP requests in the current browsing session are recorded in order, and the current access sequence is constructed. Each user accessing the website can be identified using his/her IP address [1,3]. The system accesses the data from the log data then it applies the sequential pattern analysis for finding the succeeded are the pages which are accesses sequentially.…”

Section: System Architecturementioning

confidence: 99%

“…This problem occurs when a new user is added to the system, hence has an empty profile (without ratings) and cannot receive recommendations. Finally system displays the pages which are clustered and scored according to user interest and system caching the content for improvement of performance of web personalization systems [1,2,3].…”

Section: Content Filteringmentioning

confidence: 99%

See 2 more Smart Citations

The Recommendation System for User Interest on Web

2015

IJSR

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A web personalization system provides most relevant pages to user according to the user interest domain. The system obtains the knowledge user interest domain by analyzing the user browsing history. Web services are interested in learning user interest, so they can better target the product according to user interest. The browsing history is obtained by accessing the web log data at server and cookies. The web personalization system is also known as recommender system. The motivation for this hybrid approach comes from the observation that the existing system provides the relevant data, but the system should be effective and fast. To achieve this, it combines the usage mining along with content mining with content caching. This approach improves the system performance with the help of content caching and content filtering. Thus user can obtain the relevant information on web as per user interest.

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“…In Wrapper generation, web page data can be extracted using HTML wrapper. Here the data is DOM tree which is constructed by web browser [1,2,6]. …”

Section: Methodsmentioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%