Implementation of an efficient Fuzzy Logic based Information Retrieval System

被引：1
|
作者：
Singh, Prabhjot [1 ]
Dhawan, Sumit [1 ]
Agarwal, Shubham [1 ]
Thakur, Narina [2 ]
机构：
[1] Bharati Vidyapeeths Coll Engn, New Delhi, India
[2] Bharati Vidyapeeths Coll Engn, Dept Comp Sci, New Delhi, India
来源：
EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS | 2015年 / 2卷 / 05期
关键词：
Fuzzy Logic; Information Retrieval; Similarity; Precision; Recall; Lucene;
D O I：
10.4108/sis.2.5.e5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper exemplifies the implementation of an efficient Information Retrieval (IR) System to compute the similarity between a dataset and a query using Fuzzy Logic. TREC (Text Retrieval Conference) dataset has been used for the implementation purpose. The dataset is parsed to generate keywords index which is used for the similarity comparison with the user query. Each query is assigned a score value based on its fuzzy similarity with the index keywords. The relevant documents are retrieved based on the score value. The performance and accuracy of the proposed fuzzy similarity model is compared with Cosine similarity model using Precision-Recall curves. The results prove the dominance of Fuzzy Similarity based IR system.
引用
收藏
页码：1 / 7
页数：7
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