The MusiFind Musical Information Retrieval Project, Phase II: User Assessment Survey

2013 ◽  
Author(s):  
J. Stephen Downie
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Retrieval System ◽  
Future Research ◽  
Information Industry ◽  
Mcgill University ◽  
System Improvement ◽  
Assessment Survey ◽  
High Level ◽  
User Assessment

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.This paper summarizes the findings of the MusiFind user assessment survey conducted in August of 1993. This survey examined, through both quantitative and qualitative measures, among other things, the participants' music skills, musical tastes, histories of musical information seeking, as well as preferred query and retrieval methods. Suggestions for system improvement were also sought. Findings indicate a high level of acceptance of the project among the participants and suggest that there is a need for an automated musical information retrieval system. Also garnered were suggestions for future research and project development.

IR Research and Innovation in Commercial Online Systems: An Exploratory Survey

2013 ◽  
Author(s):  
Sherry Koshman ◽  
Edie Rasmussen
Keyword(s):  
Information Retrieval ◽  
Large Scale ◽  
Interactive Systems ◽  
Information Industry ◽  
Online Systems ◽  
Research And Innovation ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Operational Systems ◽  
Mcgill University

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994."Conventional" information retrieval systems (IRS), originating in the research of the 11950s and 1960s, are based on keyword matching and the application of Boolean operators to produce a set of retrieved documents from a database. In the ensuing years, research in information retrieval has identified a number of innovations (for example, automatic weighting of terms, ranked output, and relevance feedback) which have the potential to significantly enhance the performance of IRS, though commercial vendors have been slow to incorporate these changes into their systems. This was the situation in 1988 which led Radecki, in a special issue of Information Processing & Management, to examine the potential for improvements in conventional Boolean retrieval systems, and explore the reasons why these improvements had not been implemented in operational systems. Over the last five years, this position has begun to change as commercial vendors such as Dialog, Dow Jones, West Publishing, and Mead have implemented new, non-Boolean features in their systems, including natural language input, weighted keyword terms, and document ranking. This paper identifies some of the significant findings of IR research and compares them to the implementation of non-Boolean features in such systems. The preliminary survey of new features in commercial systems suggests the need for new methods of evaluation, including the development of evalutation measures appropriate to large-scale, interactive systems.

scholarly journals EFEKTIVITAS OPAC SEBAGAI SARANA TEMU KEMBALI INFORMASI DI UPT PERPUSTAKAAN UNIVERSITAS MUHAMMADIYAH MAGELANG (UNIMMA)

2021 ◽  
Vol 16 (1) ◽  
pp. 80
Author(s):  
Rizki Shofak Isnaini ◽  
Jamzanah Wahyu Widayati
Keyword(s):  
Information Retrieval ◽  
Data Collection ◽  
Class Number ◽  
Quantitative Research ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Class Numbers ◽  
Value Range ◽  
High Level

Evaluation of information retrieval tool is very important to find out how far the retrieval system has worked. This study evaluates the OPAC of Muhammadiyah University of Magelang (UNIMMA) by determining the effectiveness of the information retrieval system seen from the relevance of the data displayed with the data requested by the user. This is descriptive quantitative research that calculates the value of recall and precision, while the data collection is conducted through literature studies and documentation. Based on the data collected, it can be concluded that OPAC UNIMMA is in the effective category with a high level of precision, and in the value range of 0.68 - 1.00 with recall and precision values respectively 0.77 or 77% and 0.84 or 84%. However, from the observations on each class number, it is found that the class number has a higher recall value than the precision, ie: the class numbers of 200, 800, and 900.

scholarly journals Graph Convolutional Networks for Cross-Modal Information Retrieval

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Xianben Yang ◽  
Wei Zhang
Keyword(s):  
Computer Vision ◽  
Information Retrieval ◽  
Deep Learning ◽  
Retrieval System ◽  
Retrieval Model ◽  
Language Understanding ◽  
Convolutional Networks ◽  
Image Retrieval System ◽  
High Level ◽  
Research Hotspots

In recent years, due to the wide application of deep learning and more modal research, the corresponding image retrieval system has gradually extended from traditional text retrieval to visual retrieval combined with images and has become the field of computer vision and natural language understanding and one of the important cross-research hotspots. This paper focuses on the research of graph convolutional networks for cross-modal information retrieval and has a general understanding of cross-modal information retrieval and the related theories of convolutional networks on the basis of literature data. Modal information retrieval is designed to combine high-level semantics with low-level visual capabilities in cross-modal information retrieval to improve the accuracy of information retrieval and then use experiments to verify the designed network model, and the result is that the model designed in this paper is more accurate than the traditional retrieval model, which is up to 90%.

scholarly journals A Model of Doctor-Patient Communication and Information Seeking a Study Among Trainee or Junior Doctors in Malaysian Hospital

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Hashim Fauzy Yaacob ◽  
Zaidatul Nadiah Abu Yazid
Keyword(s):  
Information Seeking ◽  
Meta Analysis ◽  
Communication Style ◽  
Communication Styles ◽  
Future Research ◽  
Junior Doctors ◽  
Patient Centered ◽  
Doctor Patient Communication ◽  
Patient Interview ◽  
High Level

The purpose of this study is to evaluate the doctors-patients communication style and their information seeking practiced among doctors under training or junior doctors in Malaysian hospital. Two types of communication styles evaluated are doctor centered and patient centered communication. Meanwhile, elements of information seeking practice evaluated are exploration of the reason for encounter, history taking, concrete solutions, structuring the interview, interpersonal skills and communicative skills. These six elements were categorized into interview skills and process skills. This information seeking skills have been derived from meta-analysis conducted by Stewart and Roter (1989). We combined the doctors-patients communication style and information seeking practice to develop a model based on four quadrants namely doctors-interview, doctors-process, patient-interview and patient-process. The subjects for this research are doctors under training or junior doctors in Malaysia. This explorative research distributed a set of questionnaires in order to collect data for analysis. The result show that the doctors under training or junior doctors tend to practice doctor-centered styles compare to patient-centered. Meanwhile, most of them demonstrate all the information seeking practice at a high level. Based on four quadrants developed by researcher, research shows that the doctors mostly categorized in doctor-centered communication style and interview information-seeking skills. We suggested that doctors should be more patient-oriented rather than doctor oriented. We also suggested the model that we developed can be used as a model of communication pattern of the doctors and can be used for future research.

Modelling Information Retrieval in an Object-Oriented Database Environment

2013 ◽  
Author(s):  
Michael J. Nelson
Keyword(s):  
Information Retrieval ◽  
Object Oriented ◽  
Relational Model ◽  
Information Industry ◽  
Complex Objects ◽  
Database Technology ◽  
Mcgill University ◽  
Text Information ◽  
Partial Implementation ◽  
Object Oriented Database

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Bibliographic or full text information retrieval (IR) applications have been implemented either as special purpose programs or as systems based on database technology. The relational model has been used with some success but most work has used separate IR specific models. The object-oriented data model offers many advantages by incorporating documents as complex objects. Basic concepts such as objects, class hierarchy, inheritance, aggregation, collections and methods are applied to the IR situation. Various approaches to query processing are introduced. To illustrate these concepts a partial implementation in object-Pascal is presented. Problems of standardization and formalization are discussed.

Toward High-Level Visual Information Retrieval

2011 ◽  
pp. 1-22
Author(s):  
Yu-Jin Zhang
Keyword(s):  
Information Retrieval ◽  
Visual Information ◽  
Domain Knowledge ◽  
Video Annotation ◽  
Future Research ◽  
Semantic Retrieval ◽  
Visual Information Retrieval ◽  
Semantic Level ◽  
Multi Level ◽  
High Level

Content-based visual information retrieval (CBVIR), as a new generation (with new concepts, techniques and mechanisms, etc.) of visual information retrieval, has attracted many interests from database community. The research starts by using low-level feature in more than a dozen years’ ago. The current focus has been shifted to capture high-level semantics of visual information. This chapter will convey the research from feature level to semantic level, by treating the problem of semantic gap, under the general framework of CBVIR. This high level research is the so called semantic-based visual information retrieval (SBVIR). This chapter first shows some statistics about the research publications on semantic-based retrieval in recent years, it then presents some existing approaches based on multi-level image retrieval and multi-level video retrieval. It also gives an overview on several current centers of attention, by summarizing certain results on subjects as image and video annotation, human-computer interaction, models and tools for semantic retrieval, and miscellaneous techniques in application. Before finishing, some future research directions, the domain knowledge and learning, relevance feedback and association feedback, as well as research at even high level, such as cognitive level, are pointed out.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

Multimedia: Myths and Realities

2013 ◽  
Author(s):  
Andy Large ◽  
Jamshid Behesti ◽  
Alain Breuleux ◽  
Andre Renaud
Keyword(s):  
Educational Context ◽  
User Group ◽  
Information Industry ◽  
Primary School Students ◽  
School Students ◽  
Still Images ◽  
Information Product ◽  
Mcgill University ◽  
The Impact

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Multimedia products are now widely available on a variety of platforms, and there is a widespread assumption that the addition of still images, animation and sound to text will enhance any information product. The research reported in this paper investigates such claims for multimedia in an educational context and for a specific user group: grad-six primary school students. The students' ability to recall, make inferences from, and comprehend articles presented to them in print, as text on screen, and in mutlimedia format has been mesured. The findings to date suggest that the impact of multimedia is subtle, and that generalisations about the effectiveness of multimedia, at least with children in an educational context, should be employed cautionously. The long-term goal is to identify design criteria which can be employed in the production of multimedia products for schools.

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