Information Retrieval System for Circulars

Abstract

Revolution of physical infrastructure, increasing population, and advancement in technology contributed to rapid increase in published information. This rapid growth of published information will give potential users problems such as how to find specific information from a large document corpus.The researcher focused on circular corpus and identified the absence of a well functioning circular retrieval system will lead to significant problems such as need to put a lot of effort and time to search for a specific circular which interested in. This dissertation will address these issues by implementing a circular storage and retrieval system that will enable users to quickly and easily retrieve the circulars what they are looking for.Along with circular management system a personalized circular recommendation system will also be built which recommends circulars based on previously viewed circulars. Circular storage and retrieval system will be implemented on top of circular document collection maintained by a government ministry. To enable users to quickly and easily retrieve circulars, the system 1) Allows users to enter tags specific to circulars when uploading circulars. 2) Allows users to narrow down the searched results by advanced filter criteria such as words to include, words to exclude, matching phrase, year of circular and tags. 3) Query match happens using an inverted index and circulars will be ranked using BM25 algorithm before passing the results to front end. Also for the ease of the user there will be a personalized circular recommendation system to recommend circulars based on previously viewed circulars and that is implemented using TF-IDF matrix and cosine-similarity matrix.