Search (19 results, page 1 of 1)

  • × theme_ss:"Web-Agenten"
  1. Cheung, D.W.; Kao, B.; Lee, J.: Discovering user access patterns on the World Wide Web (1998) 0.04
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    Abstract
    Intelligent agents should be used to assist users of the WWW. Identifies a number of key components in such a system and proposes a system architecture. Designs a learning agent along with the underlying algorithms for the discovery of areas of interest from user access logs. The discovered topics can be used to improve the efficiency of information retrieval by prefetching documents for the users and storing them in a document database in the system. Implements a prototype system
    Footnote
    Contribution to a special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
  2. Lieberman, H.: Personal assistants for the Web : an MIT perspective (1999) 0.04
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    Date
    7. 8.1999 11:22:55
    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  3. Knowles, C.: Intelligent agent development in knowledge management and information retrieval (1999) 0.03
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  4. Juhne, J.; Jensen, A.T.; Gronbaek, K.: Ariadne: a Java-based guided tour system for the World Wide Web (1998) 0.03
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    Abstract
    Presents a Guided tour system for the WWW, called Ariadne, which implements the ideas of trails and guided tours, originating from the hypertext field. Ariadne appears as a Java applet to the user and it stores guided tours in a database format separated from the WWW documents included in the tour. Itd main advantages are: an independent user interface which does not affect the layout of the documents being part of the tour, branching tours where the user may follow alternative routes, composition of existing tours into aggregate tours, overview map with indication of which parts of a tour have been visited an support for getting back on track. Ariadne is available as a research prototype, and it has been tested among a group of university students as well as casual users on the Internet
    Date
    1. 8.1996 22:08:06
  5. Guttman, R.; Moukas, A.; Maes, P.: Agents as mediators in electronic commerce (1999) 0.03
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    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  6. Noriega, P.; Sierra, C.: Auctions and multi-agent systems (1999) 0.03
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    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  7. Moukas, A.; Zacharia, G.; Maes, P.: Amalthaea and Histos : MultiAgent systems for WWW sites and reputation recommendations (1999) 0.03
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    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  8. Menczer, F.; Monge, A.E.: Scalable Web search by adaptive online agents : an InfoSpiders case study (1999) 0.03
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    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  9. Shehory, O.: Spawning information agents on the Web (1999) 0.03
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    Source
    Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch
  10. Intelligent information agents : Agent-based information discovery and management on the Internet (1999) 0.01
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    Content
    Enthält die Kapitel: PAPAZOGLOU, M.P. u. W.-J. van den HEUVEL: From business processes to cooperative information systems: an information agents perspective; SINGH, M.P. u. M.N. HUHNS: Social abstraction for information agents; BERGAMASCHI, S. u. D. BENEVENTANO: Integration of information from multiple sources of textual data; SYCARA, K.: In-context information management through adaptive collaboration of intelligent agents; OUKSEL, A.: A framework for a scalable agent architecture of cooperating heterogeneous knowledge sources; GUTTMAN; R. et al.: Agents as mediators in electronic commerce; NORIEGA, P. u. C. SIERRA: Auctions and multi-agent systems; DURFEE, E.H. et al.: Strategic reasoning and adaptation in an information economy; HADAD, M. u. S. KRAUS: SharedPlans in electronic commerce; ZENG, D.D. u. K. SYCARA: Dynamic supply chain structuring for electronic commerce among agents; SEN, S. et al.: Adaptive choice of information sources; LIEBERMAN, H.: Personal assistants for the Web: a MIT perspective; MOUKAS; A. et al.: Amalthaea and Histos: MultiAgent systems for WWW sites and reputation recommendations; MENCZER, F. u. A.E. MONGE: Scalable Web search by adaptive online agents: an InfoSpiders case study; BREWINGTON, B. et al.: Mobile agents for distributed information retrieval; TOLKSDORF, R.: On coordinating intelligent information agents and mobility; SHEHORY, O.: Spawning information agents on the Web; TSCHUDIN, C.F.: Mobile agent security
  11. LaMacchia, B.A.: ¬The Internet Fish construction Kit (1997) 0.01
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    Date
    1. 8.1996 22:08:06
    17. 1.1999 20:22:46
  12. Julian, V.; Carrascosa, C.; Soler, J.: ¬A multiagent system architecture for retrieving and showing information (2000) 0.01
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    Abstract
    Over the last few years the use of the agent/multi-agent paradigm has grown sharply. This paradigm has been applied to different fields including control processes, mobile robots, and information retrieval. In this paper, we present a system architecture based on the agent and multi-agent paradigm that allows us to retrieve and manage any kind of information from the Internet. We present our architecture as a generic and open system architecture. One of its main features is the agents' independence from the network's dynamic. We explain in detail what has already been done in our architecture as well as our future plans
  13. Imam, I.F.; Kodratoff, Y.: Intelligent adaptive agents (1997) 0.01
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    Date
    22. 1.1999 18:46:03
  14. Tambe, M.; Gmytrasiewicz, P.: AAAI-96 Workshop on Intelligent Modeling (1997) 0.01
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    Date
    22. 1.1999 18:50:30
  15. Krulwich, B.; Burkey, C.: ¬The InfoFinder agent : learning user interests through heuristic phrase extraction (1997) 0.01
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    Source
    IEEE expert. 12(1997) no.5, S.22-27
  16. Kurzke, C.; Galle, M.; Bathelt, M.: WebAssistant : a user profile specific information retrieval assistant (1998) 0.01
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    Date
    1. 8.1996 22:08:06
  17. Blakeman, K.: Intelligent agents : search tools of the future? (1997) 0.01
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    Abstract
    Reviews the Autonomy intelligent search agent for the Internet. The system searches for Internet sites based on a description of the search problem, the user selects suitable documents and the search is retained using this selection. The evaluation indicates that Autonomy is not suited to ad hac one-off searches as it takes too long compared to more traditional search engines. Search agents could be used for monitoring the WWW, or searching newspapers
  18. Ngu, D.S.W.; Wu, X.: SiteHelper : a localized agent that helps incremental exploration of the World Wide Web (1997) 0.01
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    Date
    1. 8.1996 22:08:06
  19. Chen, H.; Chung, Y.-M.; Ramsey, M.; Yang, C.C.: ¬A smart itsy bitsy spider for the Web (1998) 0.00
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    Abstract
    As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent agent approach to Web searching. In this experiment, we developed 2 Web personal spiders based on best first search and genetic algorithm techniques, respectively. These personal spiders can dynamically take a user's selected starting homepages and search for the most closely related homepages in the Web, based on the links and keyword indexing. A graphical, dynamic, Jav-based interface was developed and is available for Web access. A system architecture for implementing such an agent-spider is presented, followed by deteiled discussions of benchmark testing and user evaluation results. In benchmark testing, although the genetic algorithm spider did not outperform the best first search spider, we found both results to be comparable and complementary. In user evaluation, the genetic algorithm spider obtained significantly higher recall value than that of the best first search spider. However, their precision values were not statistically different. The mutation process introduced in genetic algorithms allows users to find other potential relevant homepages that cannot be explored via a conventional local search process. In addition, we found the Java-based interface to be a necessary component for design of a truly interactive and dynamic Web agent