Recommendation System for Matchmaking - Strategies for match making using similarity matrix and coeralation factor

Current set of matrimonial sites and dating sites use either search, keyword based or filter based, or use personality test coupled with an algorithm to find matches. In this paper we wish to provide an alternative to the above, to build a Recommendation System for Matchmaking. This will involve users active participation and interaction and based on that the user will be able to view as well as use filters to customize his results. Here, we strive to make an online matchmaking application more personalized by using the concept of letting the system recommend people to you. Thus, adding a whole new dimension to the present scenario of online matchmaking.

About the author

Working as Assistant Professor at MITCOE, Pune, India, Masters in CSE-IT, Area of Interest-Database managment systems, soft computing, rough sets.

Product details

• Authors: Ayesha Butalia
• Publisher: VDM Verlag Dr. Müller
• Languages: English
• Product format: Paperback / Softback
• Released: 17.12.2010
• EAN: 9783639316346
• ISBN: 978-3-639-31634-6
• No. of pages: 92
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Internet