Product-Based Reasonable Price Suggestion System in the Market with Crowd-Source and Full-Text Search

Abstract

In today’s world, shopping has an important place in people’s lives in order to meet their basic needs, and people often spend a lot of time and energy to buy high-quality products at a cheap price. In addition, the cheapest product available on any day and hour may be at a different price one day later. The same product may be priced very differently in one market than in another. Despite the inconsistency and dynamic changes in all these prices, it was planned to collect the data with the crowdsourcing method in order to be able to search for the best price instantly with instant queries. In this developed product, in order to keep up with the dynamism of the data, a software was developed that will enable the data of products to be entered via smart phones with plain text-messages, from anywhere and by anyone, and the data was collected in a document-based NoSQL database. Since the data are unstructured messages, word-based indexing and distributed search architectures Lucene and Elasticsearch, which provide full-text search, were used. Since accessibility is important as well as the most affordable price, various services were integrated into the system with the Google Map API integration.