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

74 citations · 156 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IR2011

Introducing a New Mechanism for Construction of an Efficient Search Model

Debajyoti Mukhopadhyay, Sukanta Sinha

Search engine has become an inevitable tool for retrieving information from the WWW. Web researchers introduce lots of algorithms to modify search engine based on different feature…

cs.CY20112 cited

Strategic Issues For A Successful E-Commerce

Debajyoti Mukhopadhyay, Sangeeta Mishra

E-commerce is an emerging technology. Impact of this new technology is getting clearer with time and results are tangible to the user community. In this paper we have tried to focu…

cs.IR201125 cited

A Domain Specific Ontology Based Semantic Web Search Engine

Debajyoti Mukhopadhyay, Aritra Banik, Sreemoyee Mukherjee +2

Since its emergence in the 1990s the World Wide Web (WWW) has rapidly evolved into a huge mine of global information and it is growing in size everyday. The presence of huge amount…

cs.IR201121 cited

A Syntactic Classification based Web Page Ranking Algorithm

Debajyoti Mukhopadhyay, Pradipta Biswas, Young-Chon Kim

The existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about…

cs.NI20115 cited

A Dynamic Web Page Prediction Model Based on Access Patterns to Offer Better User Latency

Debajyoti Mukhopadhyay, Priyanka Mishra, Dwaipayan Saha +1

The growth of the World Wide Web has emphasized the need for improvement in user latency. One of the techniques that are used for improving user latency is Caching and another is W…

cs.IR201113 cited

Architecture of A Scalable Dynamic Parallel WebCrawler with High Speed Downloadable Capability for a Web Search Engine

Debajyoti Mukhopadhyay, Sajal Mukherjee, Soumya Ghosh +2

Today World Wide Web (WWW) has become a huge ocean of information and it is growing in size everyday. Downloading even a fraction of this mammoth data is like sailing through a hug…