Kamal Kant Bharadwaj

Affiliations:
  • Jawaharlal Nehru University, School of Computer and Systems Sciences, New Delhi, India


According to our database1, Kamal Kant Bharadwaj authored at least 72 papers between 1992 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Circle-based Group Recommendation in Social Networks.
Soft Comput., 2021

2020
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust.
Multim. Tools Appl., 2020

A Genetic Algorithm Approach for Group Recommender System Based on Partial Rankings.
J. Intell. Syst., 2020

Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity.
Appl. Artif. Intell., 2020

2019
Link prediction in signed social networks based on fuzzy computational model of trust and distrust.
Soft Comput., 2019

Evolutionary learning approach to multi-agent negotiation for group recommender systems.
Multim. Tools Appl., 2019

Community Detection in Signed Social Networks Using Multiobjective Genetic Algorithm.
J. Assoc. Inf. Sci. Technol., 2019

Leveraging collective intelligence for behavioral prediction in signed social networks through evolutionary approach.
Inf. Syst. Frontiers, 2019

Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques.
AI Commun., 2019

2018
Friends Recommendations in Dynamic Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Recommending diverse friends in signed social networks based on adaptive soft consensus paradigm using variable length genetic algorithm.
World Wide Web, 2018

Learning path recommendation based on modified variable length genetic algorithm.
Educ. Inf. Technol., 2018

A Decision Tree Based Context-Aware Recommender System.
Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018

Mining of Influencers in Signed Social Networks: A Memetic Approach.
Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018

2017
Identifying community structure in a multi-relational network employing non-negative tensor factorization and GA k-means clustering.
WIREs Data Mining Knowl. Discov., 2017

2016
Fuzzy Overlapping Community Detection in Multi-relational Networks.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016

Signed Social Networks: A Survey.
Proceedings of the Advances in Computing and Data Sciences, 2016

2015
Predicting the dynamics of social circles in ego networks using pattern analysis and GA K-means clustering.
WIREs Data Mining Knowl. Discov., 2015

e-Learning recommender system for a group of learners based on the unified learner profile approach.
Expert Syst. J. Knowl. Eng., 2015

Discovering Communities in Heterogeneous Social Networks Based on Non-negative Tensor Factorization and Cluster Ensemble Approach.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

2014
A hybrid knowledge-based approach to collaborative filtering for improved recommendations.
Int. J. Knowl. Based Intell. Eng. Syst., 2014

A Particle Swarm Optimization Approach to Fuzzy Case-based Reasoning in the Framework of Collaborative Filtering.
Int. J. Rough Sets Data Anal., 2014

Exploring graph-based global similarity estimates for quality recommendations.
Int. J. Comput. Sci. Eng., 2014

An Approach to Enhance the Quality of Recommendation Using Collaborative Tagging.
Int. J. Comput. Intell. Syst., 2014

Team formation in social networks based on collective intelligence - an evolutionary approach.
Appl. Intell., 2014

E-FCM Algorithms for Collaborative Tagging System.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2013
Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining.
Swarm Evol. Comput., 2013

Pruning trust-distrust network via reliability and risk estimates for quality recommendations.
Soc. Netw. Anal. Min., 2013

A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity.
Soc. Netw. Anal. Min., 2013

Integrating Collaborative and Reclusive Methods for Effective Recommendations: A Fuzzy Bayesian Approach.
Int. J. Intell. Syst., 2013

Fuzzy Computational Models of Trust and Distrust for Enhanced Recommendations.
Int. J. Intell. Syst., 2013

Effective Trust-aware E-learning Recommender System based on Learning Styles and Knowledge Levels.
J. Educ. Technol. Soc., 2013

Group Recommender System Based on Rank Aggregation - An Evolutionary Approach.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

A Fuzzy Approach to Multidimensional Context Aware e-Learning Recommender System.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

2012
Multi-robot exploration and terrain coverage in an unknown environment.
Robotics Auton. Syst., 2012

Enhanced New User Recommendations based on Quantitative Association Rule Mining.
Proceedings of the 3rd International Conference on Ambient Systems, 2012

e-learning recommender system for learners in online social networks through association retrieval.
Proceedings of the CUBE International IT Conference & Exhibition, 2012

A User-Oriented Content Based Recommender System Based on Reclusive Methods and Interactive Genetic Algorithm.
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

Predicting Friends and Foes in Signed Networks Using Inductive Inference and Social Balance Theory.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities.
Expert Syst. Appl., 2011

A Collaborative Filtering Framework Based on Fuzzy Case-Based Reasoning.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

Incorporating Fuzzy Trust in Collaborative Filtering Based Recommender Systems.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Tackling the Sparsity Problem in Recommender Systems by Leveraging on Indirect User-User and Item-Item Similarity.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

2010
Combining Rough Set and Evolutionary Approach for Automated Discovery of Censored Production Rules with Fuzzy Hierarchy.
J. Intell. Syst., 2010

Multi-Robot Terrain Coverage by Constructing Multiple Spanning Trees Simultaneously.
Int. J. Robotics Autom., 2010

A parallel genetic programming based intelligent miner for discovery of censored production rules with fuzzy hierarchy.
Expert Syst. Appl., 2010

Revenue Estimation and Quantification in Sponsored Search Auctions: An Inductive Learning Approach.
Proceedings of the Data Engineering and Management - Second International Conference, 2010

Enhancing Accuracy of Recommender System through Adaptive Similarity Measures Based on Hybrid Features.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
Fuzzy computational models for trust and reputation systems.
Electron. Commer. Res. Appl., 2009

Discovery of Exceptions: A Step towards Perfection.
Proceedings of the Third International Conference on Network and System Security, 2009

Collaborative Recommender Systems under Attack: A Similarity Computation Analysis.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2008
Cumulative learning techniques in production rules with fuzzy hierarchy (PRFH) system.
J. Exp. Theor. Artif. Intell., 2008

Fuzzy-genetic approach to recommender systems based on a novel hybrid user model.
Expert Syst. Appl., 2008

2007
Evolutionary Approach to Automated Discovery of Censored Production Rules with Fuzzy Hierarchy.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

A Hybrid Preference-based Recommender System Based on Fuzzy Concordance / Discordance Principle.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Censor Updation during Dynamic Clustering of Hierarchical Censored Production Rules (HCPRs).
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

A parellel genetic algorithm approach for automated discovery of censored production rules.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006
Cumulative growth of production rules with fuzzy hierarchy (PRFH).
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
A Cumulative Learning Approach to Data Mining Employing Censored Production Rules (CPRs)
Proceedings of the International Enformatika Conference, 2005

Discovery of Production Rules with Fuzzy Hierarchy.
Proceedings of the Second World Enformatika Conference, 2005

Automated Discovery of Hierarchical Ripple-Down Rules (HRDRs).
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2000
Multiple Correspondences in Stereo Vision under a Genetic Algorithm Approach.
Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000

1998
Some learning techniques in hierarchical censored production rules (HCPRs) system.
Int. J. Intell. Syst., 1998

Integration of Hierarchical Censored Production Rule (HCPR)-based System and Neural Networks.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

Towards Integrating Hierarchical Censored Production Rule(HCPR) Based and Neural Networks.
Proceedings of the Advances in Artificial Intelligence, 1998

1996
Calculus of fuzzy hierarchical censored production rules (FHCPRs).
Int. J. Intell. Syst., 1996

Bucket brigade algorithm for hierarchical censored production rule-based system.
Int. J. Intell. Syst., 1996

Adaptive Hierarchical Censored Production Rule-Based System: A Generic Algorithm Approach.
Proceedings of the Advances in Artificial Intelligence, 1996

1995
Parallelization of hierarchical censored production rules.
Inf. Softw. Technol., 1995

1994
Hierarchical censored production rules (HCPRs) system employing the dempster-shafer uncertainty calculus.
Inf. Softw. Technol., 1994

1992
Translation of Pascal programs for execution on Lisp-based machines.
Inf. Softw. Technol., 1992

Hierarchical Censored Production Rules (HCPRs) system.
Data Knowl. Eng., 1992


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