BibSonomy publications for /tag/systemSat Feb 11 19:24:16 CET 2012WiesbadenEmpfehlungssysteme: Recommender Systems - Grundlagen, Konzepte und L{\"o}sungen2009Recommendation system Sat Feb 11 19:24:16 CET 2012User Modeling and User-Adapted Interaction4331--370Hybrid Recommender Systems:~Survey and Experiments122002Recommendation system Sat Feb 11 19:24:16 CET 2012WiesbadenBetriebswirtschaftslehre f{\"u}r Technologie und InnovationPersonalisierung im Internet: Individualisierte Angebote mit Collaborative Filtering372000Recommendation system Mon Feb 06 14:02:41 CET 2012Berlin/HeidelbergRecommender Systems for the Social Web65--87Intelligent Systems Reference LibraryChallenges in Tag Recommendations for Collaborative Tagging Systems322012challenge collaborative recommendation system tagging Originally introduced by social bookmarking systems, collaborative tagging, or social tagging, has been widely adopted by many web-based systems like wikis, e-commerce platforms, or social networks. Collaborative tagging systems allow users to annotate resources using freely chosen keywords, so called tags . Those tags help users in finding/retrieving resources, discovering new resources, and navigating through the system. The process of tagging resources is laborious. Therefore, most systems support their users by tag recommender components that recommend tags in a personalized way. The Discovery Challenges 2008 and 2009 of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) tackled the problem of tag recommendations in collaborative tagging systems. Researchers were invited to test their methods in a competition on datasets from the social bookmark and publication sharing system BibSonomy. Moreover, the 2009 challenge included an online task where the recommender systems were integrated into BibSonomy and provided recommendations in real time. In this chapter we review, evaluate and summarize the submissions to the two Discovery Challenges and thus lay the groundwork for continuing research in this area.Sun Feb 05 14:16:17 CET 2012OSDIconf/osdi/2006335-350The Chubby Lock Service for Loosely-Coupled Distributed Systems.2006chubby distributed lock service system Mon Jan 23 16:57:02 CET 2012New York, NY, USACommun. ACM7558--565Time, clocks, and the ordering of events in a distributed system211978clock distributed system The concept of one event happening before another in a distributed system is examined, and is shown to define a partial ordering of the events. A distributed algorithm is given for synchronizing a system of logical clocks which can be used to totally order the events. The use of the total ordering is illustrated with a method for solving synchronization problems. The algorithm is then specialized for synchronizing physical clocks, and a bound is derived on how far out of synchrony the clocks can become.Thu Jan 19 12:34:45 CET 2012Berlin / HeidelbergThe VLDB Journaldec6849--875The Social Bookmark and Publication Management System BibSonomy192010bibsonomy bookmark publication sharing social system Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.Tue Dec 27 21:14:46 CET 2011Piscataway, NJ, USAIEEE Trans. Softw. Eng.#aug#797--813{CTTE}: support for developing and analyzing task models for interactive system design282002task model user interface interactive system modeling While task modeling and task-based design are entering into current practice in the design of interactive software applications, there is still a lack of tools supporting the development and analysis of task models. Such tools should provide developers with ways to represent tasks, including their attributes and objects and their temporal and semantic relationships, to easily create, analyze, and modify such representations and to simulate their dynamic behavior. In this paper, we present a tool, {CTTE}, that provides thorough support for developing and analyzing task models of cooperative applications, which can then be used to improve the design and evaluation of interactive software applications. We discuss how we have designed this environment and report on trials of its use.Tue Dec 27 21:14:44 CET 2011Berlin/HeidelbergProceedings of the 6th international conference on Task models and diagrams for user interface design287--292TAMODIA'07Task modelling for collaborative systems2007task model collaborative system grouping modeling The development of Collaborative Systems implies taking into account not only a greater number of users but also the interactions among them to accomplish complex tasks. Besides, the nature of these tasks is different from traditional tasks considered in mono-user systems. Theses differences justify the need to tackle the task modelling for collaborative systems in a different way than traditionally, considering the special features that this kind of systems have. In this paper we propose a conceptual model to describe tasks and group tasks for multi-user systems in order to make a precise characterization. This characterization is applied to a simple example to show its applicability.Tue Dec 27 21:14:40 CET 2011New York, NY, USAProceedings of the 2009 international conference on Multimodal interfaces71--78ICMI-MLMI '09A speech mashup framework for multimodal mobile services2009speech mashup framework system architecture web service cloud computing Amid today's proliferation of Web content and mobile phones with broadband data access, interacting with small-form factor devices is still cumbersome. Spoken interaction could overcome the input limitations of mobile devices, but running an automatic speech recognizer with the limited computational capabilities of a mobile device becomes an impossible challenge when large vocabularies for speech recognition must often be updated with dynamic content. One popular option is to move the speech processing resources into the network by concentrating the heavy computation load onto server farms. Although successful services have exploited this approach, it is unclear how such a model can be generalized to a large range of mobile applications and how to scale it for large deployments. To address these challenges we introduce the {AT}\&T speech mashup architecture, a novel approach to speech services that leverages web services and cloud computing to make it easier to combine web content and speech processing. We show that this new compositional method is suitable for integrating automatic speech recognition and text-to-speech synthesis resources into real multimodal mobile services. The generality of this method allows researchers and speech practitioners to explore a countless variety of mobile multimodal services with a finer grain of control and richer multimedia interfaces. Moreover, we demonstrate that the speech mashup is scalable and particularly optimized to minimize round trips in the mobile network, reducing latency for better user experience.Tue Dec 27 21:14:32 CET 2011Berlin/HeidelbergSpringer Handbook of Speech Processing35705--722Spoken Dialogue Systems2008dialogue system Spoken dialogue systems are a new breed of interfaces that enable humans to communicate with machines naturally and efficiently using a conversational paradigm. Such a system makes use of many human language technology ({HLT}) components, including speech recognition and synthesis, natural language understanding and generation, discourse modeling, and dialogue management. In this contribution, we introduce the nature of these interfaces, describe the underlying {HLTs} on which they are based, and discuss some of the development issues. After providing a historical perspective, we outline some new research directions.Tue Dec 27 21:14:30 CET 2011Berlin/Heidelberg#aug#{SmartKom}: Foundations of Multimodal Dialogue Systems2006dialogue interaction multimodal smartkom system 29An abstract is not available.Tue Dec 27 21:14:30 CET 2011Berlin/HeidelbergSmartKom: Foundations of Multimodal Dialogue Systems13--27Cognitive TechnologiesDialogue Systems Go Multimodal: The {SmartKom} Experience2006dialogue interaction multimodal smartkom system Multimodal dialogue systems exploit one of the major characteristics of humanhuman interaction: the coordinated use of different modalities. Allowing all of the modalities to refer to and depend upon each other is a key to the richness of multimodal communication. We introduce the notion of symmetric multimodality for dialogue systems in which all input modes (e.g., speech, gesture, facial expression) are also available for output, and vice versa. A dialogue system with symmetric multimodality must not only understand and represent the user's multimodal input, but also its own multimodal output. We present an overview of the {SmartKom} system that provides full symmetric multimodality in a mixed-initiative dialogue system with an embodied conversational agent. {SMARTKOM} represents a new generation of multimodal dialogue systems that deal not only with simple modality integration and synchronization but cover the full spectrum of dialogue phenomena that are associated with symmetric multimodality (including crossmodal references, one-anaphora, and backchannelling). We show that {SmartKom}'s plug-and-play architecture supports multiple recognizers for a single modality, e.g., the user's speech signal can be processed by three unimodal recognizers in parallel (speech recognition, emotional prosody, boundary prosody). We detail {SmartKom}'s three-tiered representation of multimodal discourse, consisting of a domain layer, a discourse layer, and a modality layer. We discuss the limitations of {SmartKom} and how they are overcome in the follow-up project {SmartWeb}. In addition, we present the research roadmap for multimodality addressing the key open research questions in this young field. To conclude, we discuss the economic and scientific impact of the {SMARTKOM} project, which has led to more than 50 patents and 29 spin-off products.Tue Dec 27 21:13:56 CET 2011Hershey, PA, USAInformation Modeling in the New Millennium268--284Designing model-based intelligent dialogue systems2001based design development dialogue model system Intelligent Systems are served by Intelligent User Interfaces aimed to improve the efficiency, effectiveness and adaptation of the interaction between the user and the computer by representing, understanding and implementing models. The Intelligent User Interface Model ({IUIM}) helps to design and develop Intelligent Systems considering its architecture and its behavior. It focuses the Interaction and Dialogue between User and System at the heart of an Intelligent Interactive System. An architectural model, which defines the components of the model, and a conceptual model, which relates to its contents and behavior, compose the {IUIM}. The conceptual model defines three elements: an Adaptive User Model (including components for building and updating the user model), a Task Model (including general and domain specific knowledge) and an Adaptive Discourse Model (to be assisted by an intelligent help and a learning module). We will show the implementation of the model by describing an application named Stigma- A {STereotypical} Intelligent General Matching Agent for Improving Search Results on the Internet. Finally, we compared the new model with others, stating the differences and the advantages of the proposed model.Tue Dec 27 21:13:55 CET 2011New York, NY, USAProceedings of the 8th international conference on Multimodal interfaces209--216ICMI '06Prototyping novel collaborative multimodal systems: simulation, data collection and analysis tools for the next decade2006collaborative collection data interface multimodal simulation system task user To support research and development of next-generation multimodal interfaces for complex collaborative tasks, a comprehensive new infrastructure has been created for collecting and analyzing time-synchronized audio, video, and pen-based data during multi-party meetings. This infrastructure needs to be unobtrusive and to collect rich data involving multiple information sources of high temporal fidelity to allow the collection and annotation of simulation-driven studies of natural human-human-computer interactions. Furthermore, it must be flexibly extensible to facilitate exploratory research. This paper describes both the infrastructure put in place to record, encode, playback and annotate the meeting-related media data, and also the simulation environment used to prototype novel system concepts.Thu Dec 22 11:51:38 CET 2011Expert Systems with Applicationscited By (since 1996) 11215540-15548An automated method for identifying TRIZ evolution trends from patents382011Computational Evolutionary NAtural Natural Patent Patents Semantic Semantics; System TRIZ, Technological Technology analysis; and evolution; forecasting, forecasting; inventions language linguistics; measurement; potential; processing processing; similarity systems; Trend analysis of the Theory of Inventive Problem Solving (Russian acronym: TRIZ) identifies the evolutionary status of systems to seek directions for further improvement of technology by relating properties and functions obtained from patents to TRIZ trends. The property, which is a specific characteristic of a system, is usually described using adjectives; the function, which is an action that changes a feature of an object, is usually described using verbs. Methods exist to facilitate identification of TRIZ trends, but they rely heavily on human intervention to identify specific trends and trend phases. Therefore, this paper proposes a method that automates identification of TRIZ trends. The proposed method consists of (1) extracting binary relations of the 'adjective + noun' or 'verb + noun' forms from patents using natural language processing, (2) defining a 'reasons for jumps' rule base that arranges trend-specific binary relations for trend identification, and (3) determining specific trends and trend phases by measuring semantic sentence similarity between the binary relations from patents and the binary relations in the rule base. The final output of the method depicts the evolutionary potential as a normalized radar plot, which can be used as input for technology forecasting based on TRIZ trends. Β© 2011 Elsevier Ltd. All rights reserved.Mon Dec 19 16:15:01 CET 2011Studies in Health and Informatics - CyberTherapy 16A Lightweight AV System for Providing a Faithful and Spatially Manipulable Visual Hand Representation2011AV Hand Lightweight Representation System Wed Dec 14 12:12:35 CET 2011Virtual Time and Global States of Distributed Systems1988clock distributed system vector Sun Dec 11 15:04:25 CET 2011Symposium on Principles of Distributed Computing (PODC)Towards Robust Distributed Systems2000cap distributed my:bachelor nosql robust sys:read system Sun Dec 04 18:01:32 CET 2011New York ; London5 ; 1175XVI, 484 S.Contemporary issues in European politics ; 5 ; Garland reference library of social science ; 1175 ; Contemporary issues in European politics ; Garland reference library of social scienceComparative European party systems2000europa partei siaroff system vergleichende systemCommunity for tag(s) system