Fuzzy Page Ranking Scheme in IR System
Shikha Gupta
Fuzzy Set, Information Retrieval System, Membership Value, Page Ranking, TF-IDF.
In recent years, ranking in Information Retrieval System has been researched extensively. IR System is aimed at providing users the most relevant documents in minimum possible time. Therefore, providing fast and efficient result to the user is a major issue in determining the performance of the IR systems. Ranking of the pages is done after they have been indexed. Most of the existing architectures of IR system shows that they rely on keyword-based queries and the indexing is done based on the terms of the document and the relevance of the document with respect to the context of the query. This paper proposes a ranking structure where ranking is done on the basis of a combination of the context of the document and on term basis along with finding the context of the document using the concept of membership value of fuzzy sets. Context based indexing is considered in which all the available context along with the list of related terms of that context are stored. List of documents of particular contexts are searched. The indexing of the documents are done with respect to their context. To rank these documents a combination of context based weight (how much a document is relevant with a context) and TF-IDF weight (how much the user query is relevant to a document without considering context) are used. The calculation of relevancy is done through the concept of fuzzy logic. The ranking is done in decreasing order of their membership value.
Article Details
Unique Paper ID: 143343

Publication Volume & Issue: Volume 2, Issue 10

Page(s): 185 - 187
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