Results 21 to 30 of about 11,682 (203)

Self-feedback image retrieval algorithm based on annular color moments

EURASIP Journal on Image and Video Processing, 2019
Content-based image retrieval (CBIR) extracts visual content features (such as color, texture, and shape) of a sample image to retrieve another similar image. Due to the existence of the semantic gap, retrieval results are often unsatisfactory.
Ying Deng, Yuanhui Yu
doaj   +1 more source

An adaptive term proximity based rocchio’s model for clinical decision support retrieval

BMC Medical Informatics and Decision Making, 2019
Background In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature.
Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He, Xingpeng Jiang   +5 more
doaj   +1 more source

Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA

Journal of Information and Organizational Sciences, 2018
In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation.
Mawloud Mosbah
doaj   +1 more source

Generalized Pseudo-Relevance Feedback

Proceedings of the ACM Web Conference 2026
Query rewriting is a fundamental technique in information retrieval (IR). It typically employs the retrieval result as relevance feedback to refine the query and thereby addresses the vocabulary mismatch between user queries and relevant documents.
Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai   +6 more
openaire   +2 more sources

Patent query reduction using pseudo relevance feedback [PDF]

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Queries in patent prior art search are full patent applications and much longer than standard ad hoc search and web search topics. Standard information retrieval (IR) techniques are not entirely effective for patent prior art search because of ambiguous terms in these massive queries. Reducing patent queries by extracting key terms has been shown to be
Debasis Ganguly, Johannes Leveling, Walid Magdy, Gareth J. F. Jones   +3 more
openaire   +2 more sources

End-to-end vertical web search pseudo relevance feedback queries recommendation software

SoftwareX
Users' web information needs are increasingly exploratory, seeking to navigate unfamiliar domains and discover knowledge. However, existing search engines struggle with ambiguous queries, leading to irrelevant results.
Tajmir Khan, Umer Rashid, Abdur Rehman Khan, Naveed Ahmad, Mohammed Ali Alshara   +4 more
doaj   +1 more source

Generalized Analysis of a Distribution Separation Method

Entropy, 2016
Separating two probability distributions from a mixture model that is made up of the combinations of the two is essential to a wide range of applications. For example, in information retrieval (IR), there often exists a mixture distribution consisting of
Peng Zhang, Qian Yu, Yuexian Hou, Dawei Song, Jingfei Li, Bin Hu   +5 more
doaj   +1 more source

Ranks Aggregation and Semantic Genetic Approach based Hybrid Model for Query Expansion

International Journal of Computational Intelligence Systems, 2017
Effective query expansion terms selection methods are really very important for improving the accuracy and efficiency of Pseudo-Relevance Feedback (PRF) based automatic query expansion techniques in information retrieval system.
Jagendra Singh
doaj   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

A Study of Document Weight Smoothness in Pseudo Relevance Feedback [PDF]

, 2010
In pseudo relevance feedback (PRF), the document weight which indicates how important a document is for the PRF model, plays a key role. In this paper, we investigate the smoothness issue of the document weights in PRF. The term smoothness means that the document weights decrease smoothly (i.e.
Peng Zhang 0002, Dawei Song 0001, Xiaochao Zhao, Yuexian Hou   +3 more
openaire   +1 more source