Deep-QPP

Author:

Datta Suchana1,Ganguly Debasis2,Greene Derek1,Mitra Mandar3

Affiliation:

1. University College Dublin, Dublin, Ireland

2. University of Glasgow, Glasgow, United Kingdom

3. Indian Statistical Institute, Kolkata, India

Funder

Science Foundation Ireland

Publisher

ACM

Reference47 articles.

1. Pseudo test collections for learning web search ranking functions

2. Query-Performance Prediction Using Minimal Relevance Feedback

3. Adam Byerly , Tatiana Kalganova , and Ian Dear . 2020. A Branching and Merging Convolutional Network with Homogeneous Filter Capsules. CoRR , Vol. abs/ 2001 .09136 ( 2020 ). Adam Byerly, Tatiana Kalganova, and Ian Dear. 2020. A Branching and Merging Convolutional Network with Homogeneous Filter Capsules. CoRR , Vol. abs/2001.09136 (2020).

4. What makes a query difficult?

5. Query Performance Prediction Focused on Summarized Letor Features

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1. The Surprising Effectiveness of Rankers trained on Expanded Queries;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval";Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Query Performance Prediction: From Fundamentals to Advanced Techniques;Lecture Notes in Computer Science;2024

4. BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance Prediction;Lecture Notes in Computer Science;2024

5. A Deep Learning Approach for Selective Relevance Feedback;Lecture Notes in Computer Science;2024

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