What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Computer network
His main research concerns World Wide Web, Social media, Social network, Microblogging and Data science.
His World Wide Web study combines topics in areas such as Ranking, Social capital and Internet privacy.
The concepts of his Social media study are interwoven with issues in Crowds and Set.
His Social network research includes elements of Feature, Recommender system and Econometrics.
His Microblogging research is multidisciplinary, incorporating perspectives in Identity and Information retrieval, Automatic summarization.
The various areas that Niloy Ganguly examines in his Artificial intelligence study include Algorithm and Theoretical computer science.
His most cited work include:
- Understanding and combating link farming in the twitter social network (305 citations)
- Design patterns from biology for distributed computing (285 citations)
- Feature weighting in content based recommendation system using social network analysis (200 citations)
What are the main themes of his work throughout his whole career to date?
Niloy Ganguly spends much of his time researching Artificial intelligence, Social media, Theoretical computer science, World Wide Web and Complex network.
His Artificial intelligence research incorporates themes from Machine learning and Natural language processing.
His biological study spans a wide range of topics, including Data science, Set, Internet privacy and Social network.
In Theoretical computer science, Niloy Ganguly works on issues like Community structure, which are connected to Vertex.
His Complex network study integrates concerns from other disciplines, such as Consonant and Structure.
The Degree distribution study combines topics in areas such as Computer network and Distributed computing.
He most often published in these fields:
- Artificial intelligence (18.21%)
- Social media (11.94%)
- Theoretical computer science (11.34%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (18.21%)
- Risk analysis (1.79%)
- Information retrieval (8.66%)
In recent papers he was focusing on the following fields of study:
Niloy Ganguly mostly deals with Artificial intelligence, Risk analysis, Information retrieval, Customer satisfaction and Context.
His studies deal with areas such as Machine learning, Graph based, Submodular set function and Natural language processing as well as Artificial intelligence.
Niloy Ganguly has included themes like Recommender system and Focus in his Risk analysis study.
The Automatic summarization research Niloy Ganguly does as part of his general Information retrieval study is frequently linked to other disciplines of science, such as Process, therefore creating a link between diverse domains of science.
Niloy Ganguly combines subjects such as Selection algorithm, Selection and Frame with his study of Context.
His Data science research incorporates elements of Popularity and Generative grammar.
Between 2019 and 2021, his most popular works were:
- FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms (21 citations)
- Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations (15 citations)
- Regression under Human Assistance (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Computer network
His scientific interests lie mostly in Risk analysis, Customer satisfaction, Context, Minimax and Control.
His Risk analysis research includes elements of Optimization problem and Recommender system.
Along with Customer satisfaction, other disciplines of study including Focus, Two-sided market, Online optimization, Work and Goods and services are integrated into his research.
His research integrates issues of Personalization, Crowdsourcing, Information retrieval, Automatic summarization and Key in his study of Control.
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