Associated Edge Weight Approach to Improve Personalized Ranking

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3

Abstract

Abstract: Search engine is most leading and valuable tool that collects the data which is extent and it objectives to offer rising data being reachable to the user. Objective of personalization ranking is to improve the tradition data search and retrieval procedure as per the user concern. Authority flow is the technique ofconveying the rating of pages for each user. Authority flow approaches like PageRank and ObjectRank can deal personalized ranking of typed entity-relationship graphs. In entity relationship graph, the authority flow mechanism adjusted with the provision of edge or relationship type. There are two chief processes to personalize authority flow ranking: Node based personalization, where authority constructs since a set of user precise nodes; Edge-based personalization, where the reputation of different edge types is user-specific.Main concentration of the paper is on Edge-based personalization where the hybridization of ScaleRank with clustering algorithm i.e., K Mean clustering and express that the Hybrid ScaleRank provides quick and precise adapted authority flow ranking.

Authors and Affiliations

Ms. Pallavi G. Gaikwad , Mrs. M. A. Potey

Keywords

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  • EP ID EP117939
  • DOI -
  • Views 76
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How To Cite

Ms. Pallavi G. Gaikwad, Mrs. M. A. Potey (2016). Associated Edge Weight Approach to Improve Personalized Ranking. IOSR Journals (IOSR Journal of Computer Engineering), 18(3), 77-82. https://europub.co.uk/articles/-A-117939