The Data Science Team of Cubix Published a Research Paper in Asrjets Exploring the Potential of a Closest Match Based Information Retrieval and Recommendation Engine

Washington, DC, US, 2018-Sep-10 — /EPR Network/ — Provides an overview of a closest match based information retrieval and recommendation engine using signature trees and fuzzy relevance sorting

Cubix, a leading software development company that specializes in the niches of data science, Blockchain, VR, AR, Web, iPhone and Android app development published a research paper that proposes a recommendation technique to avoid exhaustive search to be run on the database with thousands of records. The technology helps apps, websites and frameworks in adapting an algorithm that performs fuzzy relevance sorting (flexible searching methodology for enhanced and effective searching).

The recommendation engine is highly effective for comparison based apps and websites. It best fits into the niches of dating apps, food delivery apps, classified apps, etc. Titled,”CLOSEST MATCH BASED INFORMATION RETRIEVAL AND RECOMMENDATION ENGINE USING SIGNATURE-TREES AND FUZZY RELEVANCE SORTING,” this research paper delves into the characteristics of this technology and the advantages of leveraging recommendation engine backed by relevance sorting.

“We wanted to solve a problem of searching through millions of data entries and then coming up with the entries that best match not just syntactically but also semantically to an extent with the sample forwarded, which itself is not just a search query, but a data-entry like none other itself. it Cube-Match has the spot-on matchmaking technology and its set of algorithms are generic enough that they can cater, applications from dating sites – matching person to the best person of their interest, to call center agents that are matched best according to the problem or call received, or a music and movie recommendation system, where people interested in listening to certain kind of music are led to the exploration of similar or similarly praised music etc.” said Ali Sohani, co-founder of Cubix.

The goal of this research paper was to develop a recommendation and search system that can perform fuzzy-similarity analysis with relatable and near-match percentages in an efficient, effective and user-friendly manner on over thousands of files, records and rows with hundreds of features, columns and attributes. Inspired by Google’s image searching algorithm, Cubix created a match engine that reads the design of files or data, compiles encoded signatures and save them as an index.

About Cubix

Since its existence, Cubix has earned a reputation as a software developer that offers software of high quality for its clients. The company’s solutions and services are designed to maximize the return on investment. Moreover, the software products developed by Cubix also help clients to optimize their efforts and time accordingly.

Cubix has capabilities in Web & Mobile Software Development, Building Interactive Games, Advanced Blockchain & Cryptocurrency Platforms, Augmented Reality and artificial Intelligence Systems. Cubix was recently named as one of the Top Mobile App Development Companies by Clutch.