Results 31 to 40 of about 152,300 (264)
Using the quantum probability ranking principle to rank interdependent documents [PDF]
, 2010 A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP) has been proposed, which implicitly captures dependencies between ...
A. Khrennikov +13 more
core +2 more sources
Your relevance feedback is essential: enhancing the learning to rank using the virtual feature based logistic regression. [PDF]
PLoS ONE, 2012 Information retrieval applications have to publish their output in the form of ranked lists. Such a requirement motivates researchers to develop methods that can automatically learn effective ranking models. Many existing methods usually perform analysis
Fei Cai +3 more
doaj +1 more source
Investigating the effectiveness of methodological elements in ranking the results based on their relevance and methodological validity [PDF]
Iranian Journal of Information Processing & Management, 2023 Introduction: The goal of evidence-based medicine is helping clinical professionals to obtain relevant and valid information to make appropriate clinical decisions.
Hajar Sotudeh +2 more
doaj +1 more source
IEEE Access, 2021 The rapid growth in the number of scholarly documents on the Web and in other digital platforms makes it challenging for researchers to find research publications most relevant to their information needs.
Shah Khalid +4 more
doaj +1 more source
Ranking structured documents using utility theory in the Bayesian network retrieval model [PDF]
, 2003 In this paper a new method based on Utility and Decision theory is presented to deal with structured documents. The aim of the application of these methodologies is to refine a first ranking of structural units, generated by means of an Information ...
F. Crestani +10 more
core +3 more sources
Cross-modal Deep Metric Learning with Multi-task Regularization
, 2017 DNN-based cross-modal retrieval has become a research hotspot, by which users can search results across various modalities like image and text. However, existing methods mainly focus on the pairwise correlation and reconstruction error of labeled data ...
Huang, Xin, Peng, Yuxin
core +1 more source
Information retrieval of mass encrypted data over multimedia networking with N-level vector model-based relevancy ranking [PDF]
, 2016 With an explosive growth in the deployment of networked applications over the Internet, searching the encrypted information that the user needs becomes increasingly important. However, the information search precision is quite low when using Vector space
Liu, Ran +3 more
core +1 more source
Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Molecular Oncology, EarlyView.A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
Comparative Study of Ranking Algorithms Supporting Search Result Diversification [PDF]
Jisuanji gongcheng, 2016 Recently,researchers in the field of information retrieval have proposed many ranking algorithms supporting search result diversification,but there is no literature on the performance analysis and comparison of these algorithms.Based on a traditional ...
CHEN Tingting,HUANG Chunlan,WU Shengli
doaj +1 more source