Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A hybridized semantic trust-based framework for personalized web page recommendation Subject The topic of the resource latent Dirichlet allocation; Latent semantic analysis; personalized web search, recommendation systems trust; web usage information Description An account of the resource The World Wide Web is constantly evolving and is the most dynamic information repository in the world that has ever existed. Since the information on the web is changing continuously and owing to the presence of a large number of similar web pages, it is very challenging to retrieve the most relevant information. With a large number of malicious and fake web pages, it is required to retrieve Web Pages that are trustworthy. Personalization of the recommendation of web pages is certainly necessary to estimate the user interests for suggesting web pages as per their choices. Moreover, the Web is tending towards a more organized Semantic Web which primarily requires semantic techniques for recommending the Web Pages. In this paper, a framework for personalized web page recommendation based on a hybridized strategy is proposed. Web Pages are recommended based on the user query by analyzing the Web Usage Data of the users. An array of strategies is intelligently integrated together to achieve an efficient Web Page Recommendation system. Latent Semantic Analysis is applied to the User-Term Matrix and the Term-Frequency Matrix that are built from the Web Usage Information to form a Term Prioritization Vector. Further, techniques like Latent Dirichlet Allocation for Topic-based Segregation of the URLs and Normalized Pointwise Mutual Information strategies are used for recommending web pages based on users queries. The Personalization is achieved by prioritizing the Web pages based on the Prioritization Vector. Also, a unique methodology is incorporated into the system to retrieve trustworthy websites. An overall Accuracy of 0.84 is achieved which is better than the existing strategies. 2018 Informa UK Limited, trading as Taylor &amp; Francis Group. Creator An entity primarily responsible for making the resource Deepak G.; Shwetha B.N.; Pushpa C.N.; Thriveni J.; Venugopal K.R. Source A related resource from which the described resource is derived International Journal of Computers and Applications, Vol-42, No. 8, pp. 729-739. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/1206212X.2018.1480472" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/1206212X.2018.1480472</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050530199&amp;doi=10.1080%2F1206212X.2018.1480472&amp;partnerID=40&amp;md5=8c2ea9839d972f0cb08c82c379b9b06d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050530199&amp;doi=10.1080%2f1206212X.2018.1480472&amp;partnerID=40&amp;md5=8c2ea9839d972f0cb08c82c379b9b06d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1206212X; CODEN: IJCAF Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deepak G., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Shwetha B.N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Pushpa C.N., Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India; Thriveni J., Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India; Venugopal K.R., Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India