A System for Context-Dependent User Modeling
Identifieur interne : 000B18 ( Istex/Curation ); précédent : 000B17; suivant : 000B19A System for Context-Dependent User Modeling
Auteurs : Petteri Nurmi [Finlande] ; Alfons Salden [Pays-Bas] ; Sian Lun Lau [Allemagne] ; Jukka Suomela [Finlande] ; Michael Sutterer [Allemagne] ; Jean Millerat [France] ; Miquel Martin [Allemagne] ; Eemil Lagerspetz [Finlande] ; Remco Poortinga [Pays-Bas]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
English descriptors
- Teeft :
- Algorithm, Behavior information, Best knowledge, Carnegie mellon university, Component diagram, Context information, Context management framework, Context parameters, Context providers, Current implementation, Current situation, Design goals, Design process, Diverse domains, Entire system, External components, Future work, Good mapping, Group members people, International conference, Mapper, Mobile applications, Mobile device, Mobile systems, Modality recommendations, Modeling, Neural networks, Output modality, Personal communicator, Predictive user models, Proc, Project mobilife, Provider, Reasoner, Recommender, Rule induction, Service categories, Service category recommendations journey planners, Speech output, Usage information, Usage record, Usage record provider, Usage records, User, User modeling, User modeling algorithms, User modeling system, User models.
Abstract
Abstract: We present a system for learning and utilizing context-dependent user models. The user models attempt to capture the interests of a user and link the interests to the situation of the user. The models are used for making recommendations to applications and services on what might interest the user in her current situation. In the design process we have analyzed several mock-ups of new mobile, context-aware services and applications. The mock-ups spanned rather diverse domains, which helped us to ensure that the system is applicable to a wide range of tasks, such as modality recommendations (e.g., switching to speech output when driving a car), service category recommendations (e.g., journey planners at a bus stop), and recommendations of group members (e.g., people with whom to share a car). The structure of the presented system is highly modular. First of all, this ensures that the algorithms that are used to build the user models can be easily replaced. Secondly, the modularity makes it easier to evaluate how well different algorithms perform in different domains. The current implementation of the system supports rule based reasoning and tree augmented naïve Bayesian classifiers (TAN). The system consists of three components, each of which has been implemented as a web service. The entire system has been deployed and is in use in the EU IST project MobiLife. In this paper, we detail the components that are part of the system and introduce the interactions between the components. In addition, we briefly discuss the quality of the recommendations that our system produces.
Url:
DOI: 10.1007/11915072_97
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Box 68, FI-00014, Finland</mods:affiliation><country xml:lang="fr">Finlande</country><wicri:regionArea>Helsinki Institute for Information Technology HIIT, University of Helsinki, P.O. Box 68, FI-00014</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Petteri.Nurmi@cs.helsinki.fi</mods:affiliation><country wicri:rule="url">Finlande</country></affiliation></author><author><name sortKey="Salden, Alfons" sort="Salden, Alfons" uniqKey="Salden A" first="Alfons" last="Salden">Alfons Salden</name><affiliation wicri:level="1"><mods:affiliation>Telematica Instituut (TELIN), P.O. Box 589, 7500, Enschede, AN, The Netherlands</mods:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Telematica Instituut (TELIN), P.O. Box 589, 7500, Enschede, AN</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Alfons.Salden@telin.nl</mods:affiliation><country wicri:rule="url">Pays-Bas</country></affiliation></author><author><name sortKey="Lau, Sian Lun" sort="Lau, Sian Lun" uniqKey="Lau S" first="Sian Lun" last="Lau">Sian Lun Lau</name><affiliation wicri:level="1"><mods:affiliation>Faculty of Electrical Engineering, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Faculty of Electrical Engineering, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: SianLun.Lau@comtec.eecs.uni-kassel.de</mods:affiliation><country wicri:rule="url">Allemagne</country></affiliation></author><author><name sortKey="Suomela, Jukka" sort="Suomela, Jukka" uniqKey="Suomela J" first="Jukka" last="Suomela">Jukka Suomela</name><affiliation wicri:level="1"><mods:affiliation>Helsinki Institute for Information Technology HIIT, University of Helsinki, P.O. Box 68, FI-00014, Finland</mods:affiliation><country xml:lang="fr">Finlande</country><wicri:regionArea>Helsinki Institute for Information Technology HIIT, University of Helsinki, P.O. Box 68, FI-00014</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Jukka.Suomela@cs.helsinki.fi</mods:affiliation><country wicri:rule="url">Finlande</country></affiliation></author><author><name sortKey="Sutterer, Michael" sort="Sutterer, Michael" uniqKey="Sutterer M" first="Michael" last="Sutterer">Michael Sutterer</name><affiliation wicri:level="1"><mods:affiliation>Faculty of Electrical Engineering, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Faculty of Electrical Engineering, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Michael.Sutterer@comtec.eecs.uni-kassel.de</mods:affiliation><country wicri:rule="url">Allemagne</country></affiliation></author><author><name sortKey="Millerat, Jean" sort="Millerat, Jean" uniqKey="Millerat J" first="Jean" last="Millerat">Jean Millerat</name><affiliation wicri:level="1"><mods:affiliation>Motorola Labs, Parc Les Algorithmes, Saint-Aubin, 91193, Gif-sur-Yvette Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Motorola Labs, Parc Les Algorithmes, Saint-Aubin, 91193, Gif-sur-Yvette Cedex</wicri:regionArea></affiliation><affiliation><mods:affiliation>E-mail: Jean.Millerat@motorola.com</mods:affiliation></affiliation></author><author><name sortKey="Martin, Miquel" sort="Martin, Miquel" uniqKey="Martin M" first="Miquel" last="Martin">Miquel Martin</name><affiliation wicri:level="1"><mods:affiliation>NEC Europe Ltd, Kurfürster Anlage 36, 69115, Heidelberg, Germany</mods:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>NEC Europe Ltd, Kurfürster Anlage 36, 69115, Heidelberg</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Miquel.Martin@netlab.nec.de</mods:affiliation><country wicri:rule="url">Allemagne</country></affiliation></author><author><name sortKey="Lagerspetz, Eemil" sort="Lagerspetz, Eemil" uniqKey="Lagerspetz E" first="Eemil" last="Lagerspetz">Eemil Lagerspetz</name><affiliation wicri:level="1"><mods:affiliation>Helsinki Institute for Information Technology HIIT, University of Helsinki, P.O. Box 68, FI-00014, Finland</mods:affiliation><country xml:lang="fr">Finlande</country><wicri:regionArea>Helsinki Institute for Information Technology HIIT, University of Helsinki, P.O. Box 68, FI-00014</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Eemil.Lagerspetz@cs.helsinki.fi</mods:affiliation><country wicri:rule="url">Finlande</country></affiliation></author><author><name sortKey="Poortinga, Remco" sort="Poortinga, Remco" uniqKey="Poortinga R" first="Remco" last="Poortinga">Remco Poortinga</name><affiliation wicri:level="1"><mods:affiliation>Telematica Instituut (TELIN), P.O. Box 589, 7500, Enschede, AN, The Netherlands</mods:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Telematica Instituut (TELIN), P.O. Box 589, 7500, Enschede, AN</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: Remco.Poortinga@telin.nl</mods:affiliation><country wicri:rule="url">Pays-Bas</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Algorithm</term><term>Behavior information</term><term>Best knowledge</term><term>Carnegie mellon university</term><term>Component diagram</term><term>Context information</term><term>Context management framework</term><term>Context parameters</term><term>Context providers</term><term>Current implementation</term><term>Current situation</term><term>Design goals</term><term>Design process</term><term>Diverse domains</term><term>Entire system</term><term>External components</term><term>Future work</term><term>Good mapping</term><term>Group members people</term><term>International conference</term><term>Mapper</term><term>Mobile applications</term><term>Mobile device</term><term>Mobile systems</term><term>Modality recommendations</term><term>Modeling</term><term>Neural networks</term><term>Output modality</term><term>Personal communicator</term><term>Predictive user models</term><term>Proc</term><term>Project mobilife</term><term>Provider</term><term>Reasoner</term><term>Recommender</term><term>Rule induction</term><term>Service categories</term><term>Service category recommendations journey planners</term><term>Speech output</term><term>Usage information</term><term>Usage record</term><term>Usage record provider</term><term>Usage records</term><term>User</term><term>User modeling</term><term>User modeling algorithms</term><term>User modeling system</term><term>User models</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: We present a system for learning and utilizing context-dependent user models. The user models attempt to capture the interests of a user and link the interests to the situation of the user. The models are used for making recommendations to applications and services on what might interest the user in her current situation. In the design process we have analyzed several mock-ups of new mobile, context-aware services and applications. The mock-ups spanned rather diverse domains, which helped us to ensure that the system is applicable to a wide range of tasks, such as modality recommendations (e.g., switching to speech output when driving a car), service category recommendations (e.g., journey planners at a bus stop), and recommendations of group members (e.g., people with whom to share a car). The structure of the presented system is highly modular. First of all, this ensures that the algorithms that are used to build the user models can be easily replaced. Secondly, the modularity makes it easier to evaluate how well different algorithms perform in different domains. The current implementation of the system supports rule based reasoning and tree augmented naïve Bayesian classifiers (TAN). The system consists of three components, each of which has been implemented as a web service. The entire system has been deployed and is in use in the EU IST project MobiLife. In this paper, we detail the components that are part of the system and introduce the interactions between the components. In addition, we briefly discuss the quality of the recommendations that our system produces.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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