Searched for: subject%3A%22Information%255C%2BRetrieval%22
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Qiu, Ziang (author)
Recently, a few children-centered recommendation systems have been created and evaluated. How- ever, these systems required user interaction to cre- ate ground truth to evaluate the result. This research aims to compare some of the traditional recommen- dation models and explore which trait could impact the recommendation process most for...
bachelor thesis 2023
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Chaudhary, Shivam (author), Prasad Miyapuram, Krishna (author), Lomas, J.D. (author)
Entrainment is a phenomenon of phase or temporal matching of one system with that of another system. Human neural activity has been shown to resonate with external auditory stimuli. When we enjoy a piece of music, there is a resonance of brain responses with auditory signals. The crux of music cognition is based on this resonance of musical...
conference paper 2023
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Theodorakopoulos, Dimitris (author)
In the field of Information Retrieval (IR), the reliable evaluation of systems is a key component in order to progress the state-of-the-art. Much of IR research focuses on optimizing the various aspects of evaluation. Stochastic simulation is one technique that can be used to assist this kind of research. It allows researchers to overcome...
master thesis 2022
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Visser, Maaike (author)
As the amount of information available in the world grows, Information Retrieval (IR) systems have become an integral part of day to day life. They determine what subset of the large pool of information is shown to people. IR algorithms determine which items should be returned in response to a query and rank the results in a ranked list.<br/...
master thesis 2022
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Salarian, Borna (author)
Working with trustworthy classifier models is important to the field of music information retrieval. However studies have shown some of the classifier models may not be as trustworthy as they appear. In this paper, we examine three of such classifiers available in the Essentia toolkit that have been evaluated using cross-validation, and measure...
bachelor thesis 2022
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Hulleman, Sjoerd (author)
Music Information Retrieval (MIR) is a field of research that focusses on extracting information from music related data. This includes the genre of music and the beats per minute (BPM) of a song. Pipelines that extract this information from music are called feature extractors. Essentia is a library for such feature extraction. Often, the audio...
bachelor thesis 2022
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Murgia, Emiliana (author), Landoni, Monica (author), Huibers, Theo (author), Pera, M.S. (author)
In this manuscript, we discuss the findings from an introductory survey conducted with more than 50 teachers in Italy. We inquired about teachers’ opinions of educational technology used in the classroom, in particular search tools. Qualitative and quantitative data inferred from collected responses provide us with a multifaceted picture of...
conference paper 2022
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Roy, N. (author), Maxwell, D.M. (author), Hauff, C. (author)
The Search Engine Results Page (SERP) has evolved significantly over the last two decades, moving away from the simple ten blue links paradigm to considerably more complex presentations that contain results from multiple verticals and granularities of textual information. Prior works have investigated how user interactions on the SERP are...
conference paper 2022
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Struharová, Natália (author)
Audio fingerprinting is one of the standard solutions for music identification. The underlying technique is designed to be robust to signal degradation such that music can be identified despite its presence. One of the newly emerged applications of a possibly challenging nature is music identification in movies. This paper examines the audio...
bachelor thesis 2021
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Wang, Yiran (author)
In order determine when we can show direct answer module to user queries in web search engine, an independent classifier is designed in this study to assess the answerability of each user query. Real user queries are sampled from MS MARCO Question Answering and Natural Langauge Generation dataset \cite{MSMARCO} and manually labelled with query...
bachelor thesis 2021
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Kim, Jaehun (author)
Machine learning (ML) has become a core technology for many real-world applications. Modern ML models are applied to unprecedentedly complex and difficult challenges, including very large and subjective problems. For instance, applications towards multimedia understanding have been advanced substantially. Here, it is already prevalent that...
doctoral thesis 2021
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Roy, N. (author), Barbosa Câmara, A. (author), Maxwell, D.M. (author), Hauff, C. (author)
Models developed to simulate user interactions with search interfaces typically do not consider the visual layout and presentation of a Search Engine Results Page (SERP). In particular, the position and size of interfacewidgets ---such as entity cards and query suggestions---are usually considered a negligible constant. In contrast, in this work...
conference paper 2021
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Hauff, C. (author), Kiseleva, Julia (author), Sanderson, Mark (author), Zamani, Hamed (author), Zhang, Yongfeng (author)
An introduction to the special issue on conversational search and recommendation is presented in this article. While conversational search and recommendation has roots in early Information Retrieval (IR) research, the recent advances in automatic voice recognition and conversational agents have created increasing interest in this area. In...
review 2021
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Thonet, Thibaut (author), Clinchant, Stéphane (author), Lassance, Carlos (author), Isufi, E. (author), Ma, Jiaqi (author), Xie, Yutong (author), Renders, Jean Michel (author), Bronstein, Michael (author)
Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more...
conference paper 2021
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Agres, Kat R. (author), Schaefer, Rebecca S. (author), Volk, Anja (author), van Hooren, Susan (author), Holzapfel, Andre (author), Dalla Bella, Simone (author), Müller, Meinard (author), de Witte, Martina (author), Neerincx, M.A. (author)
The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the...
journal article 2021
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Roy, N. (author), Valle Torre, M. (author), Gadiraju, Ujwal (author), Maxwell, D.M. (author), Hauff, C. (author)
Active reading strategies - -such as content annotations (through the use of highlighting and note-taking, for example) - -have been shown to yield improvements to a learner's knowledge and understanding of the topic being explored. This has been especially notable in long and complex learning endeavours. With web search engines nowadays used...
conference paper 2021
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Koornneef, H. (author), Verhagen, W.J.C. (author), Curran, R. (author)
Aircraft dispatch involves determining the optimal dispatch option when an aircraft experiences an unexpected failure. Currently, maintenance technicians at the apron have limited access to support information and finding the right information in extensive maintenance manuals is a time-consuming task, often leading to technically induced...
journal article 2021
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Mostert, C. (author)
High-level music classification tasks such as automatic music mood annotation impose several challenges, both from a psychological and a machine learning point of view. Ground truth labels for these tasks at hand are hard to define due to the abstract and aesthetic nature of the data, being largely dependent on human psychology and perception....
master thesis 2020
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Spaargaren, Wim (author)
Systematic literature reviews in software engineering as well as other disciplines, serve as the foundation for sound scientific research. The aim for these literature reviews is to aggregate all existing knowledge on a research problem and produce informed guidelines for practitioners. This enables practitioners to apply appropriate software...
master thesis 2020
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Morales Martinez, Francisco (author)
Weak baselines have been present in Information Retrieval (IR) for<br/>decades. They have been associated with IR progress stagnation, baseline<br/>selection bias to publish results more readily, and models’ effectiveness<br/>reproducibility issues that hinder the validation of results by independent<br/>research teams. Weak baselines have been...
master thesis 2020
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