Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic-Reference-Cited by-同舟云学术

Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic

Published:2017-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Ariannezhad Mozhdeh¹,Montazeralghaem Ali¹,Zamani Hamed²,Shakery Azadeh¹

Affiliation:

1. University of Tehran, Tehran, Iran

2. University of Massachusetts Amherst, Amherst, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3077136.3080761

Reference12 articles.

1. Discovering key concepts in verbose queries

2. Adapting pivoted document-length normalization for query size

3. Ronan Cummins. 2016. A Study of Retrieval Models for Long Documents and Queries in Information Retrieval WWW'16. Montreal Quebec Canada 795--805. Ronan Cummins. 2016. A Study of Retrieval Models for Long Documents and Queries in Information Retrieval WWW'16. Montreal Quebec Canada 795--805.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Text Indexing for Long Patterns: Anchors are All you Need;Proceedings of the VLDB Endowment;2023-05

2. Algorithmic Vibe in Information Retrieval;Proceedings of the ACM Web Conference 2023;2023-04-30

3. Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning;Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining;2022-02-11

4. Effective Query Formulation in Conversation Contextualization: A Query Specificity-based Approach;Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval;2021-07-11

5. An axiomatic approach to corpus-based cross-language information retrieval;Information Retrieval Journal;2020-04-09