2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781728136356
Category :
Languages : en
Pages :
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Book Description
TThe Semantic and Social Media Adaptation and Personalization (SMAP) workshops are the evolution of the Semantic Media Adaptation and Personalization initiative, which was founded during the summer of 2006 in an effort to discuss the state of the art, recent advances and future perspectives for semantic media adaptation and personalization However, as social media and social network applications have substantially transformed the way organizations, communities, and individuals interact, the scopes of the workshops are also extended towards this new trend, seeking to bring together researchers from the social web as well as from the semantic web communities, under the umbrella of the media adaptation and personalization domain
Author: IEEE Staff
Publisher:
ISBN: 9781728136356
Category :
Languages : en
Pages :
Get Book Here
Book Description
TThe Semantic and Social Media Adaptation and Personalization (SMAP) workshops are the evolution of the Semantic Media Adaptation and Personalization initiative, which was founded during the summer of 2006 in an effort to discuss the state of the art, recent advances and future perspectives for semantic media adaptation and personalization However, as social media and social network applications have substantially transformed the way organizations, communities, and individuals interact, the scopes of the workshops are also extended towards this new trend, seeking to bring together researchers from the social web as well as from the semantic web communities, under the umbrella of the media adaptation and personalization domain
Author: Hakim Hacid
Publisher: Springer Nature
ISBN: 3031141350
Category : Computers
Languages : en
Pages : 384
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Book Description
This book constitutes the selected papers from the scientific satellite events held in conjunction with the19th International Conference on Service-Oriented Computing, ICSOC 2021. The conference was held Dubai, United Arab Emirates in November 2021. This year, these satellite events were organized around three main tracks, including a workshop track, a demonstration track, and a tutorials track. The ICSOC 2021 workshop track consisted of the following three workshops covering a wide range of topics that fall into the general area of service computing. • International Workshop on Artificial Intelligence for IT Operations (AIOps) • 3rd Workshop on Smart Data Integration and Processing (STRAPS 2021) • International Workshop on AI-enabled Process Automation (AI-PA 2021)
Author: Evgeny Burnaev
Publisher: Springer Nature
ISBN: 3031165004
Category : Computers
Languages : en
Pages : 358
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Book Description
This book constitutes revised selected papers from the thoroughly refereed proceedings of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, during December 16–18, 2021. The 20 full papers and 5 short papers included in this book were carefully reviewed and selected from 118 submissions. They were organized in topical sections as follows: Invited papers; natural language processing; computer vision; data analysis and machine learning; social network analysis; and theoretical machine learning and optimization.
Author: Wybe Popma
Publisher: Academic Conferences and publishing limited
ISBN: 1912764237
Category : Reference
Languages : en
Pages : 436
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Book Description
Author: Ignacio Rojas
Publisher: Springer Nature
ISBN: 3031430859
Category : Computers
Languages : en
Pages : 723
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Book Description
This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
Author: Wil M. P. van der Aalst
Publisher: Springer Nature
ISBN: 303072610X
Category : Computers
Languages : en
Pages : 480
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Book Description
This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic. The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining.
Author: Sara Paiva
Publisher: Springer Nature
ISBN: 3030760634
Category : Computers
Languages : en
Pages : 652
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Book Description
This book constitutes the refereed proceedings of the 6th Annual Smart City 360° Summit. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of seven conferences, namely AISCOVID 2020 - International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities; EdgeIoT 2020 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2020 - International Conference on Cognitive Computing and Cyber Physical Systems; CiCom 2020 - International Conference on Computational Intelligence and Communications; S-Cube 2020 - International Conference on Sensor Systems and Software; SmartGov 2020 - International Conference on Smart Governance for Sustainable Smart Cities; and finnally, the Urb-IOT 2020 -International Conference on IoT in Urban Space.
Author: H. Chad Lane
Publisher: Springer Nature
ISBN: 3030584593
Category : Education
Languages : en
Pages : 664
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Book Description
This book constitutes the thoroughly refereed proceedings of the 11th International Conference on Computer Supported Education, CSEDU 2019, held in Heraklion, Crete, Greece, in May 2019. The 30 revised full papers were carefully reviewed and selected from 202 submissions. The papers cover wide research fields including authoring tools and content development, AV-communication and multimedia, classroom management, e-Learning hardware and software, blended learning, critical success factors in distance learning.
Author: Athanasios Spyridakos
Publisher: Springer Nature
ISBN: 3031348923
Category : Business & Economics
Languages : en
Pages : 179
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Book Description
This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management. Resource management constitutes a major challenge of modern times. The book comprehensively examines cases of human resources, material resources and natural resources in particular. It focuses on the efficient utilization of these resources to achieve sustainability of economic, environmental and social aspects. Also, the book presents methodological tools which aim to support the decision making at operational, executive and strategic levels.The book presents recent results of scientific research in the field of MCDA and its applications to resource management. It investigates the resource management challenges and introduces innovative methodological approaches and systems for addressing these resources management issues.
Author: Nima Dokoohaki
Publisher: Springer Nature
ISBN: 3030552187
Category : Science
Languages : en
Pages : 144
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Book Description
This book includes the proceedings of the first workshop on Recommender Systems in Fashion 2019. It presents a state of the art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail and fashion. The volume covers contributions from academic as well as industrial researchers active within this emerging new field. Recommender Systems are often used to solve different complex problems in this scenario, such as social fashion-based recommendations (outfits inspired by influencers), product recommendations, or size and fit recommendations. The impact of social networks and the influence that fashion influencers have on the choices people make for shopping is undeniable. For instance, many people use Instagram to learn about fashion trends from top influencers, which helps them to buy similar or even exact outfits from the tagged brands in the post. When traced, customers’ social behavior can be a very useful guide for online shopping websites, providing insights on the styles the customers are really interested in, and hence aiding the online shops in offering better recommendations and facilitating customers quest for outfits. Another well known difficulty with recommendation of similar items is the large quantities of clothing items which can be considered similar, but belong to different brands. Relying only on implicit customer behavioral data will not be sufficient in the coming future to distinguish between for recommendation that will lead to an item being purchased and kept, vs. a recommendation that might result in either the customer not following it, or eventually return the item. Finding the right size and fit for clothes is one of the major factors not only impacting customers purchase decision, but also their satisfaction from e-commerce fashion platforms. Moreover, fashion articles have important sizing variations. Finally, customer preferences towards perceived article size and fit for their body remain highly personal and subjective which influences the definition of the right size for each customer. The combination of the above factors leaves the customers alone to face a highly challenging problem of determining the right size and fit during their purchase journey, which in turn has resulted in having more than one third of apparel returns to be caused by not ordering the right article size. This challenge presents a huge opportunity for research in intelligent size and fit recommendation systems and machine learning solutions with direct impact on both customer satisfaction and business profitability.
