• Razi Ahmad
• Rupak Kumar

Recommendation systems provide an intelligent way to navigate through an ocean of options available at users’ disposal and present information that they perceive to be useful and worth trying out. Recommender Systems (RS) are assistance in the form of software, tools or algorithms that may guide a target user in making decision by proposing him recommendations based on his interests. In conventional recommendation system we have active elements on one side (Person) and passive elements in others side (Products). Success is determined by only one side (user–side) who is seeking recommendation, but the other way is not possible. Reciprocal recommendation is a special case of recommendation system where both sides we have active participants (people) and their mutual agreement is mandatory for a successful relation. Many social websites’ core task is to recommend people to people. The objective of this article is to do a comparative study of conventional and reciprocal recommendation system and study the domain of applications and the approaches used for the implementation in the recommendation system.

recommendation system, conventional recommendation system, reciprocal recommendation system

"Comparative study of Conventional and Reciprocal Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c655-c660, August-2021, Available :http://www.jetir.org/papers/JETIR2108334.pdf

"Comparative study of Conventional and Reciprocal Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc655-c660, August-2021, Available at : http://www.jetir.org/papers/JETIR2108334.pdf