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The scalability, as well as the effectiveness, of the different Content-based Image Retrieval (CBIR) approaches proposed in literature, is today an important research issue. Given the wealth of images on the Web, CBIR systems must in fact…

Recent cross-domain recommendation (CDR) studies assume that disentangled domain-shared and domain-specific user representations can mitigate domain gaps and facilitate effective knowledge transfer. However, achieving perfect…

Information Retrieval · Computer Science 2024-11-27 Jing Du , Zesheng Ye , Bin Guo , Zhiwen Yu , Jia Wu , Jian Yang , Michael Sheng , Lina Yao

Cyberspace hosts abundant interactions between users and different kinds of objects, and their relations are often encapsulated as bipartite graphs. Detecting user community in such heterogeneous graphs is an essential task to uncover user…

Information Retrieval · Computer Science 2020-09-08 Zheng Gao , Hongsong Li , Zhuoren Jiang , Xiaozhong Liu

Accurately analyzing and modeling online browsing behavior play a key role in understanding users and technology interactions. In this work, we design and conduct a user study to collect browsing data from 31 participants continuously for…

Computers and Society · Computer Science 2021-08-17 Yuliia Lut , Michael Wang , Elissa M. Redmiles , Rachel Cummings

In this paper we propose a framework for identifying patterns and regularities in the pseudo-anonymized Call Data Records (CDR) pertaining a generic subscriber of a mobile operator. We face the challenging task of automatically deriving…

Data Structures and Algorithms · Computer Science 2017-11-23 Filippo Maria Bianchi , Antonello Rizzi , Alireza Sadeghian , Corrado Moiso

In this paper we provide two introductory analyses of CAPs, based exclusively on the analysis of documents found on the Internet. The first analysis allowed us to investigate the world of CAPs, in particular for what concerned their status…

Human-Computer Interaction · Computer Science 2016-09-16 Giovanna Pacini , Franco Bagnoli

Understanding user behavior on the web is increasingly critical for optimizing user experience (UX). This study introduces Augmented Web Usage Mining (AWUM), a methodology designed to enhance web usage mining and improve UX by enriching the…

Human-Computer Interaction · Computer Science 2025-10-21 Özkan Canay , {Ü}mit Kocabıcak

Content dissemination networks are pervasive in todays Internet. Examples of content dissemination networks include peer-to-peer networks (P2P), content distribution networks (CDN) and information centric networks (ICN). In this paper, we…

Networking and Internet Architecture · Computer Science 2019-03-07 Guilherme de Melo Baptista Domingues , Edmundo Albuquerque de Souza e Silva , Rosa Maria Meri Leão , Daniel Sadoc Menasché

In this study, we conducted semi-structured interviews with 21 IIR researchers to investigate their data reuse practices. This study aims to expand upon current findings by exploring IIR researchers' information-obtaining behaviors…

Information Retrieval · Computer Science 2025-12-23 Tianji Jiang , Wenqi Li , Jiqun Liu

Device fingerprinting is a widely used technique that allows a third party to identify a particular device. Applications of device fingerprinting include authentication, attacker identification, or software license binding. Device…

Cryptography and Security · Computer Science 2023-09-18 Alberto Fernandez-de-Retana , Igor Santos-Grueiro

Concerns regarding the scalability of the inter-domain routing have encouraged researchers to start elaborating a more robust Internet architecture. While consensus on the exact form of the solution is yet to be found, the need for a…

Networking and Internet Architecture · Computer Science 2013-12-09 Florin Coras , Jordi Domingo-Pascual , Darrel Lewis , Albert Cabellos-Aparicio

Domain squatting is a common adversarial practice where attackers register domain names that are purposefully similar to popular domains. In this work, we study a specific type of domain squatting called "combosquatting," in which attackers…

Sequential recommender systems have shown effective suggestions by capturing users' interest drift. There have been two groups of existing sequential models: user- and item-centric models. The user-centric models capture personalized…

Information Retrieval · Computer Science 2022-09-15 Dongmin Hyun , Chanyoung Park , Junsu Cho , Hwanjo Yu

Modern Web APIs allow developers to provide extensively customized experiences for website visitors, but the richness of the device information they provide also make them vulnerable to being abused to construct browser fingerprints,…

Cryptography and Security · Computer Science 2024-03-26 Enrico Bacis , Igor Bilogrevic , Robert Busa-Fekete , Asanka Herath , Antonio Sartori , Umar Syed

Dark web crawling is a complex process that involves specific methodologies and techniques to navigate the Tor network and extract data from hidden services. This study proposes a general dark web crawler designed to extract pages handling…

Cryptography and Security · Computer Science 2024-05-13 Daniel De Pascale , Giuseppe Cascavilla , Damian A. Tamburri , Willem-Jan Van Den Heuvel

Learning continuously during all model lifetime is fundamental to deploy machine learning solutions robust to drifts in the data distribution. Advances in Continual Learning (CL) with recurrent neural networks could pave the way to a large…

Machine Learning · Computer Science 2021-08-03 Andrea Cossu , Antonio Carta , Vincenzo Lomonaco , Davide Bacciu

Users' detailed browsing activity - such as what sites they are spending time on and for how long, and what tabs they have open and which one is focused at any given time - is useful for a number of research and practical applications.…

Human-Computer Interaction · Computer Science 2021-02-09 Geza Kovacs

Public Key Infrastructures (PKIs) with their trusted Certificate Authorities (CAs) provide the trust backbone for the Internet: CAs sign certificates which prove the identity of servers, applications, or users. To be trusted by operating…

Cryptography and Security · Computer Science 2020-09-21 Jens Hiller , Johanna Amann , Oliver Hohlfeld

The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, methods with text search…

Multimedia · Computer Science 2017-09-05 Wengang Zhou , Houqiang Li , Qi Tian

Current learning-based edge caching schemes usually suffer from dynamic content popularity, e.g., in the emerging short video platforms, users' request patterns shift significantly over time and across different edges. An intuitive solution…

Multimedia · Computer Science 2023-08-09 Bowei He , Yinan Mao , Shiji Zhou , Chen Ma , Zhi Wang
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