Results 231 to 240 of about 142,435 (303)

Hybrid pseudo-relevance feedback for microblog retrieval

Journal of Information Science, 2013
The microblog has become a new global hot spot. Information retrieval (IR) technologies are necessary for accessing the massive amounts of valuable user-generated contents in the microblog sphere. The challenge in searching relevant microblogs is that they are usually very short with sparse vocabulary and may fail to match queries.
Chen, Lin, Chun, Lin, Ziyu, Lin, Quan, Zou   +3 more
openaire   +2 more sources

Exploring term temporality for pseudo-relevance feedback

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011
As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF).
Stewart Whiting, Yashar Moshfeghi, Joemon M. Jose   +2 more
openaire   +1 more source

Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Cross-lingual information retrieval (CLIR) aims to provide access to information across languages. Recent pre-trained multilingual language models brought large improvements to the natural language tasks, including cross-lingual adhoc retrieval. However,
Ramraj Chandradevan, Eugene Yang, M. Yarmohammadi, Eugene Agichtein   +3 more
semanticscholar   +1 more source

Improving Query Expansion Performances with Pseudo Relevance Feedback and Wu-Palmer Similarity on Cross Language Information Retrieval

2022 9th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2022
With more information available in multiple languages, the need to search for relevant information is no longer fixated only on one language. Cross language information retrieval, a system that search for relevant information in different language ...
Muhammad Akmal Pratama, Rila Mandala
semanticscholar   +1 more source

Multimedia Search with Pseudo-relevance Feedback

2003
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image retrieval performance.
Yan, Rong, Hauptmann, Alexander, Jin, Rong   +2 more
openaire   +1 more source

Predicting document effectiveness in pseudo relevance feedback

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Pseudo relevance feedback (PRF) is one of effective practices in Information Retrieval. In particular, PRF via the relevance model (RM) has been widely used due to the theoretical soundness and effectiveness. In a PRF scenario, an underlying relevance model is inferred by combining language models of the top retrieved documents where the contribution ...
Mostafa Keikha, Jangwon Seo, W. Bruce Croft, Fabio Crestani   +3 more
openaire   +1 more source

LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback

arXiv.org
Vector Pseudo Relevance Feedback (VPRF) has shown promising results in improving BERT-based dense retrieval systems through iterative refinement of query representations.
Hang Li, Shengyao Zhuang, B. Koopman, G. Zuccon   +3 more
semanticscholar   +1 more source

Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Pseudo-relevance feedback mechanisms have long served as an effective technique to improve the retrieval effectiveness in information retrieval. Recently, large pre-trained language models, such as T5 and BERT, have shown a strong capacity to capture the
Xiao Wang
semanticscholar   +1 more source

Pseudo-relevance feedback query based on Wikipedia

2012 IEEE International Conference on Granular Computing, 2012
The traditional information retrieval (IR) model always only use the BOW (bag-of-words)-based retrieval model or Concepts-based retrieval model. However BOW-based model ignore the rich semantic relations between the words and text, and Concept-based model always bring in the noisy concepts and loss the precision.
Tingting He, Xionglu Dai
openaire   +1 more source

Pseudo-Relevance Feedback with Deep Learning for Automated ICD-10 Coding

International Joint Conference on Computer Science and Software Engineering
Thailand’s decentralized healthcare system faces ongoing difficulties with ICD-10 coding, including staffing shortages and coding errors that affect reimbursement processes and clinical operations.
Kitti Akkhawatthanakun, Lalita Narupiyakul, K. Wongpatikaseree, Narit Hnoohom, P. Muneesawang   +4 more
semanticscholar   +1 more source