الصفحة 1
الصفحة 1
New Challenges in Applied Intelligence Technologies
This book includes 37 chapters which discuss examples of applications of intelligence technologies to five fields, reflecting main streams of practical and scientific interest of computer related community: agent and multi-agent systems; personal assistants and recom mender systems; knowledge modeling and processing; optimization and combinatorial problems; computer and telecommunication systems.
Intelligent Techniques for Web Personalization ; IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers
Web personalizationcan be de?ned as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casualas browsinga Web site oras (economically)signi?cantas tradingstock or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve e?ective personalization, organizations must rely on all available data, including the usage and click-stream data (re?e- ing user behavior), the site content, the site structure, domain knowledge, user demographics and pro?les. In addition, e?cient and intelligent techniques are needed to mine these data for actionable knowledge, and to e?ectively use the discovered ...
Intelligent Distributed Computing, Systems and Applications ; Proceedings of the 2nd International Symposium on Intelligent Distributed Computing – IDC 2008, Catania, Italy, 2008
Addresses many topics related to intelligent and distributed computing, systems and applications, including: adaptivity and learning; agents and multi-agent systems; argumentation; auctions; case-based reasoning; collaborative systems; data structures; distributed algorithms; formal modeling and verification; genetic and immune algorithms; grid computing; information extraction, annotation and integration; network and security protocols; mobile and ubiquitous computing; ontologies and metadata; P2P computing; planning; recommender systems; rules; semantic Web; services and processes; trust and social computing; virtual organizations; wireless networks; XML technologies.
Intelligent Decision and Policy Making Support Systems
This book covers a number of representative applications of intelligent decision support systems applications in society and policy support, including general methodologies, case studies, on-going R&D projects, and practical applications.
Information and knowledge systems : Digital technologies, artificial intelligence and decision making ; 5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings
This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Information and Knowledge Systems, ICIKS 2021, which was held online during June 22-23, 2021. The International Conference on Information and Knowledge Systems (ICIKS 2021) gathered both researchers and practitioners in the fields of Information Systems, Artificial Intelligence, Knowledge Management and Decision Support. ICIKS seeks to promote discussions on various organizational, technological, and socio-cultural aspects of research in the design and use of information and knowledge systems in organizations.
Information and communication technologies in tourism 2008 ; Proceedings of the International Conference in Innsbruck, Austria, 2008
This collection of papers presented at the ENTER 2008 Conference represents cutting-edge research on the topic of “eTourism: The View from the Future”. This year's 50 full research papers cover topics such as: user-generated content, dynamic packaging, mobile applications, context-aware systems, technology adoption, and recommender systems. All papers have undergone a double blind peer review process; therefore, the proceedings represent once more the state of the art of IT and Tourism research.
Information and communication technologies in tourism 2006 ; Proceedings of the International Conference in Lausanne, Switzerland, 2006
This collection of papers presented at the 13th ENTER Conference represents a unique opportunity of sharing knowledge with researchers bridging the fields of travel and tourism, and information and communication technologies. This year’s 40 full research papers and 23 work in progress presentations cover the following topics: meta research and education; guides and information systems; website design; behaviour analysis; website evaluation; usability and accessibility; technology adoption by enterprises; pricing; information requirements; knowledge management; decision support and recommender systems; website evaluation; customer support and service; technology adoption by customers; business models, and marketing.
Handbook of big data analytics ; Vol.2 : Applications in ICT, security and business analytics
Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time.
From web to social web : Discovering and deploying user and content profiles ; Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006
This book constitutes the refereed proceedings of the Workshop on Web Mining, WebMine 2006, held in Berlin, Germany, September 2006. Topics included are data mining based on analysis of bloggers and tagging, web mining, XML mining and further techniques of knowledge discovery.
Fashion recommender systems
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.
Encyclopedia of GIS "Geographical Information Sciences"
provides up-to-date information on emerging topics such as spatial big data, smart-phone GIS, urban computing and mobile recommender systems. It also expands the first edition’s rich set of GIS-related commercial and societal applications such as geo-targeting, geo-fencing and understanding climate changes, while enabling more comprehensive coverage of classical GIS topics such as map projections, global positioning systems and spatial cognition. The entries explain the key software, data sets and processes used by geographers and computational scientists. Additionally, the reference emphasizes the role of GIS in business and mobile intelligence. By offering more diversified GIS-related topics from theory and research than most of the other available literature, the authors equip newcomers to the field with principles as well as applications.
E-Commerce and Web Technologies ; Vol. 4082 ; 7th International Conference, EC-Web 2006, Krakow, Poland, September 5-7, 2006, Proceedings
EC-Web 2006 served as a forum bringing together researchers from academia and practitioners from industry to discuss the current state of the art in e-commerce and Web technologies. Inspiration and new ideas emerged from intensive discussions that took place during the keynote address, the formal sessions and the social events. The conference attracted 88 paper submissions and each paper was reviewed by three Program Committee members. The Program Committee selected 24 papers for presentation and publication (an acceptance and publication rate of 27%).
E-Commerce and Web Technologies ; Vol. 3590 ; 6th International conference, EC-Web 2005, Copenhagen, Denmark, August 23-26, 2005, Proceedings
We welcome you to the 6th International Conference on E-Commerce and Web Technology (EC-Web 2005) held in Copenhagen, Denmark. It was held in conjunction with DEXA 2005. This conference was organized for the first time in Greenwich, UK, in 2000, and it has been able to attract an increasing number of participants and interest, reflecting the progress made in the field. As in the five previous years, EC-Web 2005 served as a forum that brought together researchers from academia and practitioners from industry to discuss the current state of the art in e-commerce and Web technologies.
E-Commerce and Web Technologies ; 9th International Conference, EC-Web 2008 Turin, Italy, September 3-4, 2008 Proceedings
This book constitutes the refereed proceedings of the 9th International Conference on Electronic Commerce and Web Technologies, EC-Web 2008, held in Turin, Italy, in September, 2008 in conjunction with Dexa 2008.
E-Commerce and Web Technologies ; 8th International Conference, EC-Web 2007, Regensburg, Germany, September 3-7, 2007, Proceedings
This book contains sections on recommender systems, business process / design aspects, mobile commerce, security and e-payment, Web services computing / semantic Web, e-negotiation and agent mediated systems, and issues in Web advertising.
Computational Collective Intelligence ; 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings
This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems.
Machine Learning Refined : Foundations, Algorithms, and Applications
Provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology.
Machine learning refined : Foundations, algorithms, and applications
Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization
Big Data Recommender Systems ; Vol.2 : Application Paradigms
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters
Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.
