Results 41 to 50 of about 10,850,903 (220)
Meeting the review family: exploring review types and associated information retrieval requirements.
Health Information and Libraries Journal, 2019 BACKGROUND AND OBJECTIVES The last decade has witnessed increased recognition of the value of literature reviews for advancing understanding and decision making.
A. Sutton +3 more
semanticscholar +1 more source
Priors for Diversity and Novelty on Neural Recommender Systems
Proceedings, 2019 PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity under different configurations of item ...
Alfonso Landin +3 more
doaj +1 more source
Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost
Proceedings, 2019 Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way of constructing test collections to ...
David Otero +3 more
doaj +1 more source
The Capacity of Private Information Retrieval From Coded Databases [PDF]
IEEE Transactions on Information Theory, 2016 We consider the problem of private information retrieval (PIR) over a distributed storage system. The storage system consists of $N$ non-colluding databases, each storing an MDS-coded version of $M$ messages.
Karim A. Banawan, S. Ulukus
semanticscholar +1 more source
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval [PDF]
International Conference on Information and Knowledge Management, 2017 This paper concerns a deep learning approach to relevance ranking in information retrieval (IR). Existing deep IR models such as DSSM and CDSSM directly apply neural networks to generate ranking scores, without explicit understandings of the relevance ...
Liang Pang +5 more
semanticscholar +1 more source
The Audio Degradation Toolbox and its Application to Robustness Evaluation [PDF]
, 2013 We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals, and propose its usage as a means of evaluating and comparing the robustness of audio processing algorithms.
Ewert, S +2 more
core
Teaching and learning in information retrieval [PDF]
, 2009 A literature review of pedagogical methods for teaching and learning information retrieval is presented. From the analysis of the literature a taxonomy was built and it is used to structure the paper.
Efthimiadis, E. N. +3 more
core +1 more source
Semi-supervised incremental learning with few examples for discovering medical association rules
BMC Medical Informatics and Decision Making, 2022 Background Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in the
Ricardo Sánchez-de-Madariaga +3 more
doaj +1 more source
Frontiers in PhysicsOur study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition.
Andrey Dmitriev +4 more
doaj +1 more source
Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents
Information, 2019 Recent deep learning approaches have shown promising results for named entity recognition (NER). A reasonable assumption for training robust deep learning models is that a sufficient amount of high-quality annotated training data is available.
Sumam Francis +2 more
doaj +1 more source