Improving Search Strategy of Search Engine Using Probabilistic Latent Semantic

Abstract

 Users on the internet uses search engine to find information of their interest. However current search engines on web return answer to a query of user independent of user’s requirement for the information. In this paper our aim is to use a new technique called probabilistic latent s accurate than previously used techniques by various search engines. Our main focus in this paper is on the requirement for more accurate search results by meta search engine. In comparison w for searching like LSA, which perform singular value decomposition of co this paper, relies on mixture decomposition derived from latent class model. Results obtained by PLSA in searc for query shows that this technique gives more accurate results in searching most relevant document from a given corpus for a query of user.

Authors and Affiliations

Vijaysharee Gautam

Keywords

Related Articles

 MEASUREMENT OF INTERNAL CONVERSION COEFFICIENT Of 280kev γ – RAYS IN 203Hg

 The measurement of the internal conversion coefficient of 280keV γ – ray in 203HG have been investigated by means of calibrated 2ʺ x 2ʺ NaI(Tl)(scintillation detector which is sodium iodide activated with smal...

 Ontologies and Knowledge Base

 People use native language to describe the world which surrounds them. Using native language is the most intuitive way to describe things. Possibility of describing the object with the combination of known phrases...

 TECHNOLOGY IN BUSINESS – A MAGIC WAND IN BANKING SECTOR

 Technology is the integration of technical skills, methods, processes and knowledge which are applied in streamlining the business operations with respect to products and services which are embedded in the business...

 Analysis of Effectiveness of ALERT Protocol against Wormhole Attack in MANETs

 Routing in MANETs is one of the challenging issues because it dynamically changes their topology over the time and hence requires an efficient routing protocol to communicate among the mobile nodes. There are seve...

 Modelling and Construction of Acoagulation/Flocculation Tank for NDA Permanent Site

 A Flocculation system for water treatment facilities comprises of a flocculation tank having a plurality of baffle which divide the interior of the flocculation tank into a plurality of components. The baffle are...

Download PDF file
  • EP ID EP148747
  • DOI -
  • Views 107
  • Downloads 0

How To Cite

Vijaysharee Gautam (30).  Improving Search Strategy of Search Engine Using Probabilistic Latent Semantic. International Journal of Engineering Sciences & Research Technology, 1(5), 271-276. https://europub.co.uk/articles/-A-148747