Oleg Zendel

According to our database, Oleg Zendel authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing.

Oleg Zendel, J. Shane Culpepper, Falk Scholer, Paul Thomas

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023

Entropy-Based Query Performance Prediction for Neural Information Retrieval Systems.

Oleg Zendel, Binsheng Liu, J. Shane Culpepper, Falk Scholer

Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop co-located with The 45th European Conference on Information Retrieval ( ECIR), 2023

2022

sMARE: a new paradigm to evaluate and understand query performance prediction methods.

Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer

Inf. Retr. J., 2022

Can Users Predict Relative Query Effectiveness?

Oleg Zendel, Melika P. Ebrahim, J. Shane Culpepper, Alistair Moffat, Falk Scholer

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction?

Oleg Zendel, J. Shane Culpepper, Falk Scholer

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

New Perspectives to Query Performance Prediction Evaluation.

Oleg Zendel

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

sMARE: An Enhanced Query Performance Prediction Evaluation Approach (Discussion Paper).

Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

An Enhanced Evaluation Framework for Query Performance Prediction.

Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer

Proceedings of the Advances in Information Retrieval, 2021

2020

Leveraging User Email Actions to Improve Ad-Close Prediction.

Oleg Zendel, Yaroslav Fyodorov, Fiana Raiber, Natalia Silberstein, Oren Somekh, Ali Tabaja

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Information Needs, Queries, and Query Performance Prediction.

Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland, J. Shane Culpepper

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019