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  • # Semantics in P2P systems and grids # Systems of annotation extraction
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  • User-adaptivity in interactive systems Personalization and recommender systems
    8 KB (1,111 words) - 19:27, 11 February 2009
  • | Title = FIRST INTERNATIONAL WORKSHOP ON ONTOLOGIES IN INTERACTIVE SYSTEMS FIRST INTERNATIONAL WORKSHOP ON ONTOLOGIES IN INTERACTIVE SYSTEMS
    3 KB (386 words) - 22:53, 14 October 2008
  • Data about the activities of user across systems and applications and within a multitude of contexts are an enabler for acce ...iven computing, context-driven computing, information retrieval, database systems, digital libraries, metadata, data mining, user modelling, social networks,
    6 KB (890 words) - 22:53, 14 October 2008
  • | Title = ACM Conference on Recommender Systems
    508 bytes (49 words) - 22:57, 4 February 2009
  • * Web-based recommender systems * Question answering systems
    5 KB (696 words) - 18:29, 8 November 2008
  • ...can be considered as the first historical research area aimed at defining systems for the automatic access to huge amounts of information. Information Retrie ...Recommender Systems and Information Filtering systems, Question Answering Systems and Metasearch engines. The current trends of the research in information a
    4 KB (592 words) - 23:05, 14 October 2008
  • * Collaborative IR, Recommender Systems
    3 KB (401 words) - 23:08, 14 October 2008
  • ...and evaluating Social Information Retrieval (SIR) methods, techniques and systems that provide learners and teachers with guidance in a potentially overwhelm - Recommender systems
    7 KB (989 words) - 23:13, 14 October 2008
  • ...social websites and instant messaging systems. Due to the success of such systems, numerous web users everyday use the Web as a social medium to interact wit ...ining finds several applications; for instance, in e-commerce (recommender systems), in multimedia searching (high volumes of digital photos, videos, audio re
    3 KB (453 words) - 23:14, 14 October 2008
  • ...Workshop on Intelligent Techniques for Web Personalization and Recommender Systems
    599 bytes (71 words) - 23:14, 14 October 2008
  • * Collaborative filtering, recommender systems
    3 KB (368 words) - 23:16, 14 October 2008
  • implementing systems able to provide efficient and effective content-based multimodal ...ion Retrieval (IR) is the first historical research area aimed at defining systems for
    7 KB (900 words) - 23:48, 14 October 2008
  • ...s and retrieval: Collaborative and Social Information Retrieval and Access systems. One of the main challenge of such approaches is the way users and communit ...nd software developers, librarians and students in the area of information systems.
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  • Study of these large-scale social networking systems, their to recommendation systems, targeted advertising, and classification/
    5 KB (592 words) - 23:18, 14 October 2008
  • ...ch adapt their behavior to the user preferences and needs, and recommender systems that predict the relevance of diverse items (e.g., movies, travels, product - User profiling in adaptive systems
    4 KB (570 words) - 23:19, 14 October 2008
  • resource sharing (social bookmark systems, photo sharing systems, etc.) lies * network analysis of social resources sharing systems
    5 KB (646 words) - 23:19, 14 October 2008
  • | Title = Hybrid Recommender Systems for Multimedia
    552 bytes (60 words) - 23:20, 14 October 2008
  • ...icographic orders, over collaborative filtering techniques for recommender systems and ranking techniques for information retrieval, to generalizations of cla ...ion retrieval, electronic commerce, games, personalization, or recommender systems;
    5 KB (664 words) - 23:21, 14 October 2008
  • * recommender sytstmes ...rnal (International Journal of Knowledge-Based and Intelligent Engineering Systems) published by IOS Press, see KES Journal
    6 KB (879 words) - 23:31, 14 October 2008
  • ...ent agents, trust and recommender systems, web services and platform based systems. Any given digital ecosystem could rely on one or more of these technologie ...networked paradigm such as e-humanities, cultural ecosystems, and economic systems.
    4 KB (475 words) - 23:33, 14 October 2008
  • | Title = First International Workshop on Recommender Systems and Personalized Retrieval
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  • Research on intelligent information agents and systems is inherently Internet and Web technologies, information systems, information retrieval,
    9 KB (1,215 words) - 23:38, 14 October 2008
  • reputation. Computational trust has been used in reputation systems, * Recommender and reputation systems
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  • PODC solicits papers on all areas of distributed systems. We encourage submissions dealing with any aspect of distributed computing Topics of interest include the following subjects in distributed systems:
    6 KB (766 words) - 13:19, 28 November 2016
  • | Title = 2nd International Symposium on Intelligent Interactive Multimedia Systems and Services Intelligent Interactive Multimedia Systems and Services
    6 KB (693 words) - 13:03, 18 January 2009
  • |Title=Conference on Recommender Systems
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  • ...echniques. It is dedicated to 2008 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2008, Nov 17-18, 2008, Xiamen, China). A str • Intelligent decision support systems
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  • |Title=Workshop on Context-Aware Recommender Systems === WORKSHOP ON CONTEXT-AWARE RECOMMENDER SYSTEMS (CARS-2009) ===
    5 KB (671 words) - 10:51, 20 November 2020
  • ...rs, posters, and proposals for tutorials, workshops, and demonstrations of systems. SIGIR 2010 welcomes contributions related to any aspect of IR theory and f ...nding (e.g., content-based filtering, collaborative filtering, recommender systems, profiles)
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  • |Title=Trust and Recommender Systems for Social Search and Web-log analysis Modern search systems, as well as online marketing and web-analytics applications can benefit gre
    6 KB (765 words) - 14:01, 11 April 2010
  • ...non-pertinent, untrustworthy or even malicious data. Trust and Recommender systems, along with personalization techniques, appear to be essential candidates t Trust, Recommender and Personalization mechanisms could help filter, interpret and rank web-us
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  • |Title=14th ACM Conference on Recommender Systems '''14th ACM Conference on Recommender Systems'''
    4 KB (478 words) - 13:52, 26 August 2020
  • ...tion and generation: prediction markets; recommender, reputation and trust systems; social learning; data markets. *Online systems: online advertising; electronic commerce; economics of cloud computing; soc
    5 KB (718 words) - 12:00, 11 September 2020
  • ...tion and generation: prediction markets; recommender, reputation and trust systems; social learning; data markets. *Online systems: online advertising; electronic commerce; economics of cloud computing; soc
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  • ...ntive compatibility, prediction markets, recommender, reputation and trust systems, privacy ...omated agents, trading agents, data mining, experience with e-commerce and systems, economics of the Cloud, social networks, crowdsourcing
    3 KB (316 words) - 14:07, 27 February 2020
  • ...edical, academic, for any purpose, such as web user profiling, recommender systems, email organization and processing, security, etc.
    3 KB (344 words) - 19:33, 23 December 2010
  • |Field=Trust, Reputation, User Modeling, Recommender Systems from research in multi-agent systems over the last 6 years, resulting
    6 KB (880 words) - 13:14, 1 February 2011
  • ...oven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet a * User Profiling and Recommender Systems
    3 KB (366 words) - 17:33, 6 April 2011
  • ...iquitous user modeling has sought inspiration from research in multi-agent systems over the last 6 years, resulting in a series of workshops at the UM confere - Trust-based Recommender Systems
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  • ...ernational conference in Healthcare Informatics and Biomedical Engineering Systems ...ernational conference in Healthcare Informatics and Biomedical Engineering Systems (HIBES 2012)
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  • ...ectures leverage Web Technologies to implement mission-critical e-business systems. ...ples, methods, and technologies for describing the structure of e-Business systems, its composition of subsystems, and their relationship with the external en
    10 KB (1,232 words) - 18:10, 5 March 2012
  • ...atabase systems, indexing and compression, architectures, distributed data systems, dataspaces, customised hardware) ...ieval models, query processing, personalization, recommender and filtering systems)
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  • * Algorithms and systems for Web-scale search * Algorithms and systems for Web-scale mining
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  • ...for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 43rd Research focusing on recommender systems, rich content representations and content analysis, such as:
    8 KB (1,024 words) - 09:57, 13 May 2020
  • ...oven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet a ...discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.
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  • *Recommender Systems
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  • 16th European Networked Knowledge Organization Systems (NKOS) Workshop at the (4) KOS-based recommender systems. The suggestion of the right meaningful concepts is a mission critical phas
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  • |Title=9th Asian Conference on Intelligent Information and Database Systems The 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS) 2017
    4 KB (464 words) - 11:38, 4 September 2020
  • development of future knowledge and information systems, and to shape future - Main-memory, Real-time, Parallel and Distributed Database Systems
    12 KB (1,565 words) - 04:15, 5 August 2023
  • ...ssue 2017 : Online Information Review Special issue on Social Recommender Systems: Impact on individual life and society
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  • |Title=RecSys@FLAIRS 2017 : Recommender Systems Special Track at the International FLAIRS Conference |Field=artificial intelligence, recommender systems, computer science, machine learning
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  • ...ale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, ...ining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedi
    2 KB (282 words) - 10:48, 8 February 2020
  • ...ale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, ...ining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedi
    2 KB (270 words) - 10:49, 8 February 2020
  • Systems (TiiS, http://tiis.acm.org) for consideration for a special issue titled * Recommender systems
    8 KB (1,041 words) - 12:52, 9 August 2019
  • |Title=7th Asian Conference Intelligent Information and Database Systems |Field=Intelligen Information and Database Systems
    3 KB (340 words) - 11:27, 4 September 2020
  • |Title=8th Asian Conference Intelligent Information and Database Systems |Field=Intelligent Information and Database Systems
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  • |Title=Data-Driven Approaches for Analyzing and Managing Scholarly Data: Systems, Methods and Applications ...trieval, digital libraries, graph databases, machine learning, recommender systems, visualization, etc.) to combine the resources in order to exploit the poss
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  • Capital Management (HCM) refers to the set of practices and systems that contextual meaning of terms in the recruitment domain; Recommender systems have
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  • Collective and Cooperative Systems CCS Cyber-Physical Systems CPS
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  • * Algorithms and systems for Web-scale search * Algorithms and systems for Web-scale mining
    8 KB (1,069 words) - 08:17, 6 February 2020
  • TECHNOLOGY & INTERNET BASED SYSTEMS systems, mobile information systems and services, semantic-based applications
    6 KB (876 words) - 09:59, 21 August 2017
  • - Recommender systems Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights
    9 KB (1,256 words) - 02:06, 25 February 2020
  • * Infrastructures (e.g., cloud computing, data intensive computing, database systems, indexing and compression, search engine architectures) ...ieval models, query processing, personalization, recommender and filtering systems)
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  • * Interfaces for Recommender Systems
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  • |Title=Conference on Recommender Systems
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  • |Title=13th ACM Conference on Recommender Systems * Bias, bubbles and ethics of recommender systems
    1 KB (141 words) - 07:08, 18 May 2020
  • |Title=12th ACM Conference on Recommender Systems * Conversational recommender systems
    1 KB (120 words) - 14:53, 22 April 2020
  • |Title=11th ACM Conference on Recommender Systems * Conversational recommender systems
    1 KB (131 words) - 16:35, 21 April 2020
  • * Algorithms and systems for Web-scale search * Algorithms and systems for Web-scale mining
    4 KB (534 words) - 13:54, 13 May 2020
  • * Recommender Systems
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  • * Recommender systems
    2 KB (261 words) - 20:06, 20 May 2020
  • * New learning theories, models and systems * Large-scale recommender and search systems
    4 KB (515 words) - 16:39, 25 May 2020
  • ...to test different aspects of mono and cross-language Information retrieval systems. Together, the conference and the lab series will maintain and expand upon * Jaschar Domann and Andreas Lommatzsch: A Highly Available Real-time News Recommender based on Apache Spark
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  • ...alysis, design, implementation, testing, and maintenance of large software systems. ASE 2017 invites high quality contributions describing significant, origin * Component-based service-oriented systems
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  • Building user-centric systems User centricity: I-centric versus We-centric; User-centric in service-centric systems; User-centric business models; User-centric requirements in network-centric
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  • * Tourism Recommender Systems
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  • |Title=10th Asian Conference Intelligent Information and Database Systems The 10th Asian Conference Intelligent Information and Database Systems (ACIIDS) 2018
    4 KB (447 words) - 12:37, 4 September 2020
  • |Title=11th Asian Conference Intelligent Information and Database Systems The 11th Asian Conference Intelligent Information and Database Systems (ACIIDS) 2019
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  • learning applications; Machine learning for systems. machine learning (recommender systems, NLP, computer vision, etc.); Data
    9 KB (1,239 words) - 14:37, 29 December 2020
  • ...ty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data ...Spatial databases; Time-series databases; RDF stores; Hybrid DB management systems
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  • vehicular and transportation systems; Quality and reliability in aerial alarms and e-health systems; Quality and reliability enforcement in
    8 KB (1,012 words) - 10:45, 9 December 2020
  • ...al-time analytics; Real-time data aggregation; Big Data and Industrial 4.0 systems; Internet and Crowdsourcing; Mobile and wearable networks; Smart sensing ne ...ty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data
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  • ...ing, and monitoring of machine learning applications; Machine learning for systems. ...ty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data
    9 KB (1,229 words) - 03:37, 3 December 2021
  • ...ty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data ...Spatial databases; Time-series databases; RDF stores; Hybrid DB management systems
    11 KB (1,361 words) - 14:52, 10 February 2021
  • | {{OR|RecSys}} || ACM Conference on Recommender Systems || https://www.wikidata.org/entity/Q20888918 | BIS || Business Information Systems || https://www.wikidata.org/entity/Q18575820
    19 KB (2,518 words) - 09:03, 21 February 2021
  • * Personalized Recommender Systems * Personalization for Persuasive and Behavior Change Systems
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  • ...ty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data ...Spatial databases; Time-series databases; RDF stores; Hybrid DB management systems
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  • Supply Chain Management Systems Agent-mediated e-commerce systems
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  • ...on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technol ...atabase systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)
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  • ...art cities; Quality and reliability of elderly patient alarms and e-health systems; Quality and reliability enforcement in nano/femto cells; Quality and relia ...Assessing reliability and quality for context and social-aware recommender systems; Assessing reliability of vehicular density estimation using vehicular comm
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  • Systems, platforms, middleware and experiences Information Filtering and Recommender Systems
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  • Power Electronics and Energy Systems Circuits and Systems
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  • ...on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technol ...atabase systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)
    7 KB (951 words) - 04:25, 5 September 2023
  • ...enging problems facing the development of future knowledge and information systems, and to shape future research directions through the publication of high qu Systems, middleware, applications and experiences
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  • ...Xplainable Artificial Intelligence (xAI), devoted to producing intelligent systems that allow humans to understand their inferences, assessments, predictions, ...search approaches related to the explainability and interpretability of AI systems. Topics include, and are not limited to:
    8 KB (993 words) - 12:08, 23 November 2023