Slava Novgorodov

Orcid: 0000-0003-4082-7128

According to our database1, Slava Novgorodov authored at least 44 papers between 2011 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Automated Category Tree Construction: Hardness Bounds and Algorithms.
ACM Trans. Database Syst., September, 2024

Cost-Effective LLM Utilization for Machine Learning Tasks over Tabular Data.
Proceedings of the Conference on Governance, 2024

2023
Shop by image: characterizing visual search in e-commerce.
Inf. Retr. J., June, 2023

The Tip of the Buyer: Extracting Product Tips from Reviews.
ACM Trans. Internet Techn., 2023

Efficiently Archiving Photos under Storage Constraints.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
PHOcus: Efficiently Archiving Photos.
Proc. VLDB Endow., 2022

Disposal by Design.
IEEE Data Eng. Bull., 2022

Classifier Construction Under Budget Constraints.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Automated Category Tree Construction in E-Commerce.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

On the Hardness of Category Tree Construction.
Proceedings of the 25th International Conference on Database Theory, 2022

2021
Generating Tips from Product Reviews.
Proceedings of the WSDM '21, 2021

Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification.
Proceedings of the WSDM '21, 2021

An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Improving Constrained Search Results By Data Melioration.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ConCaT: Construction of Category Trees from Search Queries in E-Commerce.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Fixing Wikipedia Interlinks Using Revision History Patterns.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods.
ACM Trans. Internet Techn., 2020

CONCIERGE: Improving Constrained Search Results by Data Melioration.
Proc. VLDB Endow., 2020

MC3: A System for Minimization of Classifier Construction Cost.
Proceedings of the 2020 International Conference on Management of Data, 2020

Minimization of Classifier Construction Cost for Search Queries.
Proceedings of the 2020 International Conference on Management of Data, 2020

Inventory Reduction via Maximal Coverage in E-Commerce.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
WiClean: A System for Fixing Wikipedia Interlinks Using Revision History Patterns.
Proc. VLDB Endow., 2019

Generating Product Descriptions from User Reviews.
Proceedings of the World Wide Web Conference, 2019

Query Driven Data Labeling with Experts: Why Pay Twice?
Proceedings of the Advances in Database Technology, 2019

ReducE-Comm: Effective Inventory Reduction System for E-Commerce.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Generate Personalized Product Descriptions.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Expert-in-the-Loop in Data Management
PhD thesis, 2018

GOLDRUSH: Rule Sharing System for Fraud Detection.
Proc. VLDB Endow., 2018

Cleaning Data with Constraints and Experts.
Proceedings of the 21st International Workshop on the Web and Databases, 2018

Rule Sharing for Fraud Detection via Adaptation.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Interactive Rule Refinement for Fraud Detection.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
DANCE: Data Cleaning with Constraints and Experts.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Rudolf: Interactive Rule Refinement System for Fraud Detection.
Proc. VLDB Endow., 2016

2015
QOCO: A Query Oriented Data Cleaning System with Oracles.
Proc. VLDB Endow., 2015

Query-Oriented Data Cleaning with Oracles.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

The Temp Secretary Problem.
Proceedings of the Algorithms - ESA 2015, 2015

Managing General and Individual Knowledge in Crowd Mining Applications.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014
Ontology Assisted Crowd Mining.
Proc. VLDB Endow., 2014

OASSIS: query driven crowd mining.
Proceedings of the International Conference on Management of Data, 2014

2013
Answering Planning Queries with the Crowd.
Proc. VLDB Endow., 2013

CrowdPlanr: Planning made easy with crowd.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Asking the Right Questions in Crowd Data Sourcing.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
DiRec: Diversified recommendations for semantic-less Collaborative Filtering.
Proceedings of the 27th International Conference on Data Engineering, 2011

Diversification and refinement in collaborative filtering recommender.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


  Loading...