Personalized Web Search and User Profile Mining using Ontology

Umamaheswari, B.; Patil, Pramod

doi:10.5120/14967-3145

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, identifier determination is imbibed into the system driven by query personalisation. Umamaheswari and Patil (2014) have proposed a webpage recommendation strategy that incorporates ontologies for facilitating user profile mining. A domain is dynamically constructed by merging the local knowledge with the global knowledge.…”

Section: Related Workmentioning

confidence: 99%

An intelligent inventive system for personalised webpage recommendation based on ontology semantics

Deepak

Ahmed²,

Skanda

2019

IJISTA

View full text Add to dashboard Cite

Owing to the information diversity in the web and its dynamically changing contents, extraction of relevant information from the web is a huge challenge. With the World Wide Web transforming into a more organised semantic web, the incorporation of semantic techniques to retrieve relevant information is highly necessary. In this paper, a dynamic ontology alignment technique for recommending relevant webpages is proposed. The strategy focuses on knowledge tree construction by computing the semantic similarity between the query terms as well as the ontological entities. Furthermore, the semantic similarity is again computed between nodes of the constructed knowledge tree and URLs in the URL repository to recommend relevant webpages. The dynamic ontology alignment by computing their respective semantic similarity constitutes Ontology Semantics. Personalisation is achieved by prioritisation of webpages by content-based analysis of the users' web usage data. An overall accuracy of 87.73% is achieved by the proposed approach.

show abstract

Section: Related Workmentioning

confidence: 99%