activity
20102022
most citedLevenshtein Distance Technique in Dictionary Lookup Methods: An Improved Approach

74 citations · 370 across the 50 of their papers we have counts for

collaborators

51 papers

cs.AI2022★ 9 cited

HENRI: High Efficiency Negotiation-based Robust Interface for Multi-party Multi-issue Negotiation over the Internet

Saurabh Deochake, Shashank Kanth, Subhadip Chakraborty +3

This paper proposes a framework for a full fledged negotiation system that allows multi party multi issue negotiation. It focuses on the negotiation protocol to be observed and pro…

cs.MA2020

An Agent-based Cloud Service Negotiation in Hybrid Cloud Computing

Saurabh Deochake, Debajyoti Mukhopadhyay

With the advent of evolution of cloud computing, large organizations have been scaling the on-premise IT infrastructure to the cloud. Although this being a popular practice, it lac…

cs.LG2015★ 22 cited

A Survey of Classification Techniques in the Area of Big Data

Praful Koturwar, Sheetal Girase, Debajyoti Mukhopadhyay

Big Data concern large-volume, growing data sets that are complex and have multiple autonomous sources. Earlier technologies were not able to handle storage and processing of huge…

cs.IR2015★ 50 cited

Role of Matrix Factorization Model in Collaborative Filtering Algorithm: A Survey

Dheeraj kumar Bokde, Sheetal Girase, Debajyoti Mukhopadhyay

Recommendation Systems apply Information Retrieval techniques to select the online information relevant to a given user. Collaborative Filtering is currently most widely used appro…

cs.IR2015★ 50 cited

User Profiling Trends, Techniques and Applications

Sumitkumar Kanoje, Sheetal Girase, Debajyoti Mukhopadhyay

The Personalization of information has taken recommender systems at a very high level. With personalization these systems can generate user specific recommendations accurately and…

cs.IR2015★ 13 cited

An Item-Based Collaborative Filtering using Dimensionality Reduction Techniques on Mahout Framework

Dheeraj kumar Bokde, Sheetal Girase, Debajyoti Mukhopadhyay

Collaborative Filtering is the most widely used prediction technique in Recommendation System. Most of the current CF recommender systems maintains single criteria user rating in u…