Search Results - "Sansonetti, Giuseppe"
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Community detection in social recommender systems: a survey
Published in Applied intelligence (Dordrecht, Netherlands) (01-06-2021)“…Information extracted from social network services promise to improve the accuracy of recommender systems in various domains. Against this background,…”
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Unreliable Users Detection in Social Media: Deep Learning Techniques for Automatic Detection
Published in IEEE access (2020)“…Since the harmful consequences of the online publication of fake news have emerged clearly, many research groups worldwide have started to work on the design…”
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An Empirical Review of Automated Machine Learning
Published in Computers (Basel) (01-01-2021)“…In recent years, Automated Machine Learning (AutoML) has become increasingly important in Computer Science due to the valuable potential it offers. This is…”
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Using Deep Learning for Collecting Data about Museum Visitor Behavior
Published in Applied sciences (01-01-2022)“…Nowadays, technology makes it possible to admire objects and artworks exhibited all over the world remotely. We have been able to appreciate this convenience…”
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Special Issue on Human and Artificial Intelligence
Published in Applied sciences (23-04-2023)“…Although tremendous advances have been made in recent years, many real-world problems still cannot be solved by machines alone [...]…”
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Point of interest recommendation based on social and linked open data
Published in Personal and ubiquitous computing (01-04-2019)“…Location-based services (LBSs) are part of our daily lives due to the huge spread of mobile devices. Such services enable us to access relevant and up-to-date…”
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Exploiting semantics for context-aware itinerary recommendation
Published in Personal and ubiquitous computing (01-04-2019)“…Itinerary planning is a challenging task for users wishing to enjoy points of interest (POIs) in line with their preferences, the current context of use, and…”
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Enhancing cultural recommendations through social and linked open data
Published in User modeling and user-adapted interaction (01-03-2019)“…In this article, we describe a hybrid recommender system (RS) in the artistic and cultural heritage area, which takes into account the activities on social…”
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Machine learning aided nanoindentation: A review of the current state and future perspectives
Published in Current opinion in solid state & materials science (01-08-2023)“…[Display omitted] •The use of Machine Learning (ML) tools for supporting nanoindentation is reviewed.•Applications of ML for understanding load-depth data are…”
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Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization
Published in Future generation computer systems (01-01-2018)“…Nowadays, the exponential advancement of social networks is creating new application areas for recommender systems (RSs). People-to-people RSs aim to exploit…”
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Laparoscopic Approach to Inguinal Disruption in Athletes: a Retrospective 13-Year Analysis of 198 Patients in a Single-Surgeon Setting
Published in Sports medicine - open (24-06-2019)“…Background Inguinal disruption (ID) is a condition of chronic groin pain affecting mainly athletes. ID cannot be defined as a true hernia. Pathogenesis is…”
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Tag-Aware Document Representation for Research Paper Recommendation
Published 08-09-2022“…Finding online research papers relevant to one's interests is very challenging due to the increasing number of publications. Therefore, personalized research…”
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A BERT-Based Approach to Intent Recognition
Published in IEEE EUROCON 2023 - 20th International Conference on Smart Technologies (06-07-2023)“…Conversational agents are increasingly present in the context of Industry 4.0, in particular for customer care applications. To be really useful, these agents…”
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Conference Proceeding -
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Lightweight partially absorbable monofilament mesh (polypropylene/poliglecaprone 25) for TAPP inguinal hernia repair: initial experience
Published in Surgical laparoscopy, endoscopy & percutaneous techniques (01-04-2007)“…An ideal mesh should produce slight foreign-body reactions and be compatible with the human organisms. Studies focusing on these aspects indicate that the use…”
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Exploiting Web Browsing Activities for User Needs Identification
Published in 2014 International Conference on Computational Science and Computational Intelligence (01-03-2014)“…Browsing sessions are rich in elements useful to build profiles of user interests, but at the same time HTML pages include noise data, such as ads and…”
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Conference Proceeding -
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Dynamic Social Recommendation
Published in 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (31-07-2017)“…This paper describes a preliminary investigation of a user modeling approach, named bag-of-signals, able to take into account how user's interests evolve over…”
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Conference Proceeding -
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Enhancing Query Expansion through Folksonomies and Semantic Classes
Published in 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing (01-09-2012)“…Adaptive query expansion (QE) allows users to better define their search domain by supplementing the original query with additional terms related to their…”
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Conference Proceeding