A Study on Mining for Semantic Web Personalization

Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
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, the authors need to tackle the technical issues on transforming web access activities into ontology, and deducing personalized usage knowledge from the ontology.

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