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Towards a framework for adaptive constraint propagation

dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorJohnson F.
dc.contributor.authorMonfroy E.
dc.contributor.authorNorero E.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:15:38Z
dc.date.available2020-09-02T22:15:38Z
dc.date.issued2015
dc.identifier10.1007/978-3-319-21380-4_98
dc.identifier.citation528, , 578-581
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4139
dc.descriptionIn this paper we address a recent situation created by the explosive growth of web systems. For these reason we propose a framework to support adaptive elements in Web pages. Web pages can be accessed by different platforms with different browsers and through different devices such as laptops, tablets or cellphones. In particular we focus on adaptive menus for this different kind of devices or browsers to optimize the selection patterns and their implementations. We propose a framework using an Adaptive Constraint Programming technique to optimize the decision of developers. Constraint Programming is a programming paradigm able to find efficient resolution in optimization problems. In Constraint Programming a problem is defined in term of variables and constraints. The variables hold a domain and represent the unknowns of the problem, while the relations among them are modeled as constraints. © Springer International Publishing Switzerland 2015.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectAutonomous search
dc.subjectConstraint programming
dc.subjectWeb system
dc.subjectComputer programming
dc.subjectConstraint theory
dc.subjectOptimization
dc.subjectWebsites
dc.subjectWorld Wide Web
dc.subjectAdaptive constraint propagation
dc.subjectAdaptive constraints
dc.subjectAutonomous searches
dc.subjectConstraint programming
dc.subjectExplosive growth
dc.subjectOptimization problems
dc.subjectProgramming paradigms
dc.subjectWeb system
dc.subjectHuman computer interaction
dc.titleTowards a framework for adaptive constraint propagation
dc.typeConference Paper


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