Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Mukhopadhyay, Debajyoti"'
Autor:
Deochake, Saurabh, Kanth, Shashank, Chakraborty, Subhadip, Sarode, Suresh, Potdar, Vidyasagar, Mukhopadhyay, Debajyoti
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 provides a platform for concurrent and independent negotiation on individ
Externí odkaz:
http://arxiv.org/abs/2202.02430
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 lacks comprehensive efforts to study the aspects of automated negotiation
Externí odkaz:
http://arxiv.org/abs/2006.13109
Publikováno v:
In Computers and Electrical Engineering April 2022 99
Publikováno v:
In Journal of Network and Computer Applications 1 August 2021 187
Autor:
Raje, Manali, Mukhopadhyay, Debajyoti
Large amount of electronic data is generated in Cloud computing every day. Efficient maintenance of this data requires proper services. Hence a method to collect data securely, by protecting and developing backups is mentioned. The Objective is to pr
Externí odkaz:
http://arxiv.org/abs/1503.07473
Recommendation Systems apply Information Retrieval techniques to select the online information relevant to a given user. Collaborative Filtering is currently most widely used approach to build Recommendation System. CF techniques uses the user behavi
Externí odkaz:
http://arxiv.org/abs/1503.07475
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 data thus Big Data concept comes into existence. This is a tedious job
Externí odkaz:
http://arxiv.org/abs/1503.07477
The Personalization of information has taken recommender systems at a very high level. With personalization these systems can generate user specific recommendations accurately and efficiently. User profiling helps personalization, where information r
Externí odkaz:
http://arxiv.org/abs/1503.07474