A Study on Models and Methods of Information Retrieval System

Author:

Malhotra Manisha1,Singh Aarti2

Affiliation:

1. Chandigarh University, India

2. Guru Nanak Girls College, Yamuna Nagar, India

Abstract

Information Retrieval (IR) is the action of getting the information applicable to a data need from a pool of information resources. Searching can be depends on text indexing. Whenever a client enters an inquiry into the system, an automated information retrieval process becomes starts. Inquiries are formal statements which is required for getting an input (Rijsbergen, 1997). It is not necessary that the given query provides the relevance information. That query matches the result of required information from the database. It doesn't mean it gives the precise and unique result likewise in SQL queries (Rocchio, 2010). Its results are based on the ranking of information retrieved from server. This ranking based technique is the fundamental contrast from database query. It depends on user application the required object can be an image, audio or video. Although these objects are not saved in the IR system, but they can be in the form of metadata. An IR system computes a numeric value of query and then matches it with the ranking of similar objects.

Publisher

IGI Global

Reference29 articles.

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3. Balas, V. E., Dey, N., Ashour, A. D., & Pistolla, S. (2016). Image Fusion Incorporating Parameter Estimation Optimized Gaussian Mixture Model And Fuzzy Weighted Evaluation System: A Case Study In Time-Series Plantar Pressure Dataset. IEEE Sensors Journal, 1-15.

4. Visual information retrieval from large distributed online repositories

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