Searched for: +
(1 - 20 of 20)
document
Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
Mainstream bias, where some users receive poor recommendations because their preferences are uncommon or simply because they are less active, is an important aspect to consider regarding fairness in recommender systems. Existing methods to mitigate mainstream bias do not explicitly model the importance of these non-mainstream users or, when...
conference paper 2023
document
Subramanyam, S. (author), Viola, Irene (author), Jansen, Jack (author), Alexiou, Evangelos (author), Hanjalic, A. (author), Cesar, Pablo (author)
Technological advances in head-mounted displays and novel real-time 3D acquisition and reconstruction solutions have fostered the development of 6 Degrees of Freedom (6DoF) teleimmersive systems for social VR applications. Point clouds have emerged as a popular format for such applications, owing to their simplicity and versatility; yet,...
conference paper 2022
document
Urbano, Julián (author), Corsi, M. (author), Hanjalic, A. (author)
Statistical significance tests are the main tool that IR practitioners use to determine the reliability of their experimental evaluation results. The question of which test behaves best with IR evaluation data has been around for decades, and has seen all kinds of results and recommendations. Definitive answer to this question has recently...
conference paper 2021
document
Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
In a collaborative-filtering recommendation scenario, biases in the data will likely propagate in the learned recommendations. In this paper we focus on the so-called mainstream bias: the tendency of a recommender system to provide better recommendations to users who have a mainstream taste, as opposed to non-mainstream users. We propose NAECF,...
conference paper 2021
document
Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach (e.g. TFMAP, CLiMF, Top-N-Rank) aim at optimizing the same metric being used for evaluation, under the assumption that this will lead to the best performance. A number of studies...
conference paper 2021
document
Zhan, X. (author), Hanjalic, A. (author), Wang, H. (author)
In this paper, we explore how to effectively suppress the diffusion of (mis)information via blocking/removing the temporal contacts between selected node pairs. Information diffusion can be modelled as, e.g., an SI (Susceptible-Infected) spreading process, on a temporal social network: an infected (information possessing) node spreads the...
conference paper 2020
document
Wang, X. (author), Qiao, T. (author), Zhu, Jihua (author), Hanjalic, A. (author), Scharenborg, O.E. (author)
An estimated half of the world’s languages do not have a written form, making it impossible for these languages to benefit from any existing text-based technologies. In this paper, a speech-to-image generation (S2IG) framework is proposed which translates speech descriptions to photo-realistic images without using any text information, thus...
conference paper 2020
document
Wang, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...
conference paper 2019
document
Manolios, S. (author), Hanjalic, A. (author), Liem, C.C.S. (author)
The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based...
conference paper 2019
document
Urbano, Julián (author), De Lima, H.A. (author), Hanjalic, A. (author)
Statistical significance testing is widely accepted as a means to assess how well a difference in effectiveness reflects an actual difference between systems, as opposed to random noise because of the selection of topics. According to recent surveys on SIGIR, CIKM, ECIR and TOIS papers, the t-test is the most popular choice among IR researchers....
conference paper 2019
document
Urbano, Julián (author), De Lima, H.A. (author), Hanjalic, A. (author)
In test collection based evaluation of IR systems, score standardization has been proposed to compare systems across collections and minimize the effect of outlier runs on specific topics. The underlying idea is to account for the difficulty of topics, so that systems are scored relative to it. Webber et al. first proposed standardization...
conference paper 2019
document
Timoshevskiy, Mikhail V. (author), Pervunin, Konstantin S. (author), Markovich, Dmitriy M. (author), Hanjalic, K. (author)
We studied cavitating flow over the suction side of a symmetric 2D foil - a scaled-down model of high-pressure hydroturbine guide vanes (GV) - in different cavitation regimes at several attack angles. High-speed imaging was used to analyze spatial patterns and time dynamics of the gas-vapor cavities, as well as for evaluating the...
conference paper 2019
document
Slokom, M. (author), Larson, M.A. (author), Hanjalic, A. (author)
Data science challenges allow companies, and other data holders, to collaborate with the wider research community. In the area of recommender systems, the potential of such challenges to move forward the state of the art is limited due to concerns about releasing user interaction data. This paper investigates the potential of privacy...
conference paper 2019
document
Kim, Jaehun (author), Won, Minz (author), Liem, C.C.S. (author), Hanjalic, A. (author)
In this paper, we propose a hybrid Neural Collaborative Filtering (NCF) model trained with a multi-objective function to achieve a music playlist generation system. The proposed approach focuses particularly on the cold-start problem (playlists with no seed tracks) and uses a text encoder employing a Recurrent Neural Network (RNN) to exploit...
conference paper 2018
document
Wang, Bokun (author), Yang, Yang (author), Xing, Xu (author), Hanjalic, A. (author), Shen, Heng Tao (author)
Cross-modal retrieval aims to enable flexible retrieval experience across different modalities (e.g., texts vs. images). The core of crossmodal retrieval research is to learn a common subspace where the items of different modalities can be directly compared to each other. In this paper, we present a novel Adversarial Cross-Modal Retrieval ...
conference paper 2017
document
Liem, C.C.S. (author), Hanjalic, A. (author)
Traditionally, the computer-assisted comparison of multiple performances of the same piece focused on performances on single instruments. Due to data availability, there also has been a strong bias towards analyzing piano performances, in which local timing, dynamics and articulation are important expressive performance features. In this paper,...
conference paper 2015
document
Zhu, Y. (author), Heynderickx, I.E.J.R. (author), Hanjalic, A. (author), Redi, J.A. (author)
Recently, a lot of effort has been devoted to estimating the Quality of Visual Experience (QoVE) in order to optimize video delivery to the user. For many decades, existing objective metrics mainly focused on estimating the perceived quality of a video, i.e., the extent to which artifacts due to e.g. compression disrupt the appearance of the...
conference paper 2015
document
Liem, C.C.S. (author), Hanjalic, A. (author)
The Cover Song Retrieval (CSR) problem has received considerable attention in the MIREX 2006-2008 evaluation sessions. While the reported performance figures provide a general idea about the strengths of the submitted systems, it is not clear what actually causes the reported performance of a certain system. In other words, the question...
conference paper 2009
document
Kroon, B. (author), Nesvadba, J. (author), Hanjalic, A. (author)
The proliferation of captured personal and broadcast content in personal consumer archives necessitates comfortable access to stored audiovisual content. Intuitive retrieval and navigation solutions require however a semantic level that cannot be reached by generic multimedia content analysis alone. A fusion with film grammar rules can help to...
conference paper 2007
document
Hanjalic, A. (author), Sebe, N. (author), Chang, E. (author)
Recent advances in computing, communications and storage technology have made multimedia data become prevalent. Multimedia has gained enormous potential in improving the processes in a wide range of fields, such as advertising and marketing, education and training, entertainment, medicine, surveillance, wearable computing, biometrics, and remote...
conference paper 2006
Searched for: +
(1 - 20 of 20)