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Adaptive and Optimization of Personalized Information Retrieval Model in Semantic Web
2019
International journal of recent technology and engineering
The recognition of user's visited set of web pages for the prediction of web page is a key drawback. Thus the work is employed with the web access log files which is stored in the server. To understand the user interest patterns, the web access log files are extracted that depicts the user behavior. Various applications can be employed to predicting user's behavior while serving the web. During this work, the proposed framework analyze the user usage, reinforced the content and the content
doi:10.35940/ijrte.b1131.0982s1119
fatcat:lwwayem545hyzhespbmvh7tzce