Vineet Chaoji

Orcid: 0000-0002-2141-4021

According to our database1, Vineet Chaoji authored at least 34 papers between 2004 and 2024.

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



In proceedings 
PhD thesis 




Scaling Use-case Based Shopping using LLMs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PROTEGE: Prompt-based Diverse Question Generation from Web Articles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Think Out of the Package: Recommending Package Types for E-Commerce Shipments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Handling Confounding for Realistic Off-Policy Evaluation.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Image similarity using Deep CNN and Curriculum Learning.
CoRR, 2017

Machine Learning in the Real World.
Proc. VLDB Endow., 2016

DAGGER: A Scalable Index for Reachability Queries in Large Dynamic Graphs
CoRR, 2013

Community detection in content-sharing social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

GRAIL: a scalable index for reachability queries in very large graphs.
VLDB J., 2012

BitPath -- Label Order Constrained Reachability Queries over Large Graphs
CoRR, 2012

Recommendations to boost content spread in social networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Online Advertising in Social Networks.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

GRAIL: Scalable Reachability Index for Large Graphs.
Proc. VLDB Endow., 2010

Recursive data mining for role identification in electronic communications.
Int. J. Hybrid Intell. Syst., 2010

Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data.
Proceedings of the 19th International Conference on World Wide Web, 2010

I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Predicting product adoption in large-scale social networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Efficient algorithms for mining arbitrary shaped clusters.
PhD thesis, 2009

Robust partitional clustering by outlier and density insensitive seeding.
Pattern Recognit. Lett., 2009

SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters.
Knowl. Inf. Syst., 2009

ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns.
Stat. Anal. Data Min., 2008

An integrated, generic approach to pattern mining: data mining template library.
Data Min. Knowl. Discov., 2008

Recursive data mining for role identification.
Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008

SPARCL: Efficient and Effective Shape-Based Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

ORIGAMI: Mining Representative Orthogonal Graph Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Towards Generic Pattern Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Detection of inconsistent regions in video streams.
Proceedings of the Human Vision and Electronic Imaging IX, 2004

VENUS: A System for Novelty Detection in Video Streams with Learning.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004