Web User Profiling through Quiescent Semantic Analysis for Web Personalization
نویسندگان
چکیده
منابع مشابه
Web Usage Mining for Semantic Web Personalization
With the explosive growth of information on the Web, it has become more difficult to access relevant information from the Web. One possible approach to solve this problem is web personalization. In Semantic Web, user access behavior models can be shared as ontology. Agent software can then utilize it to provide personalized services such as recommendation and search. To achieve this, we need to...
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Semantic Web Mining is the outcome of two new and fast developing domains: Semantic Web and Data Mining. The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Data Mining is the nontrivial process of identifying valid, previously unknown, potentially useful patterns in data. Semantic W...
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Web usage mining has recently emerged as a basis for extracting useful user access pattern information, such as user profiles, from enormous amounts of Web log data for web site personalization. A profile can consist of a set of URLs that are relevant to the sessions assigned to a given cluster. Once these profiles are discovered, they can be exploited as part of an automated personalization on...
متن کاملPersonalization for the Semantic Web
Searching for the meaning of the word “personalization” on a popular search engine, one finds twenty-three different answers, including “the process of matching categorized content with different end users based on business rules ... upon page request to a Webserver”, “using continually adjusted user profiles to match content or services to individuals”, and also “real-time tailoring of display...
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The buzzwords ‚portals‘ and ‚personalization‘ are ubiquitous at the moment. This document analyzes how an individualization of Semantic Community Web Portals can be achieved. On the other hand, one can find ideas and suggestions for a possible extraction of userprofiles and rules regarding the ontology on which the portal is based.
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ژورنال
عنوان ژورنال: International Journal of Engineering and Technology
سال: 2017
ISSN: 2319-8613,0975-4024
DOI: 10.21817/ijet/2017/v9i2/170902109