Evaluating statistical information retrieval models with different indexing enhancement strategies

Kenan M. Matawie, Sargon Hasso

Research output: Chapter in Book / Conference PaperConference Paper

Abstract

![CDATA[In this paper we will introduce the indexing enhancement for the Statistical Information Retrieval models (IR). To accomplish this task, we propose including an extra level of synonym and semantic classification and the distribution entropy of these synonym classifications via professional and technical resources that is determined by the query domain subject matter experts. We will evaluate this enhancement by using Rank-biased Precision (RBP) measurement after using BM25 IR model. This approach needs to re-formulate the implementations of IR models particularly the probabilistic models in an integrated system. Evaluated CRAN data will be analysed utilizing Lucene which offers a full-text search library by adding search functionality to our foundational model and system implementation.]]
Original languageEnglish
Title of host publicationProceedings of the 33rd International Workshop on Statistical Modelling. Volume I, July 16-20, 2018, Bristol, UK
PublisherUniversity of Bristol
Pages209-214
Number of pages6
Publication statusPublished - 2018
EventInternational Workshop on Statistical Modelling -
Duration: 18 Jul 2022 → …

Conference

ConferenceInternational Workshop on Statistical Modelling
Period18/07/22 → …

Keywords

  • information retrieval
  • indexing

Fingerprint

Dive into the research topics of 'Evaluating statistical information retrieval models with different indexing enhancement strategies'. Together they form a unique fingerprint.

Cite this