Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts

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A4 Artikkeli konferenssijulkaisussa
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Date

2020-01-01

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Department of Communications and Networking

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Language

en

Pages

8

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Web Engineering - 20th International Conference, ICWE 2020, Proceedings, pp. 19-26, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 12128 LNCS

Abstract

To personalize a web page, case-specific rules or templates must be specified that define the visuospatial layout of elements as well as device-specific adaptation rules for an individual. This approach scales poorly. We present LaaS, a service platform for self-optimizing web layouts to improve their usability at individual, group, and population levels. No hand-coded rules or templates are needed, as LaaS uses combinatorial optimization to generate web layouts for stated design objectives. This allows personalization to be controlled via intuitive objectives that affect the full web layout. We present an extensible architecture and solutions for (1) layout generation using integer programming, (2) data abstractions to mediate between browsers and layout generators, and (3) page restructuring. Moreover, we show how LaaS can be easily deployed as part of existing web pages. Results demonstrate that our approach can produce usable personalized web layouts in diverse scenarios.

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Keywords

Self-adaptive web interfaces, Web layouts, Web personalization, Web service architectures, Web-based interaction

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DOI

10.1007/978-3-030-50578-3_2

Citation

Laine, M, Nakajima, A, Dayama, N & Oulasvirta, A 2020, Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts. in M Bielikova, T Mikkonen & C Pautasso (eds), Web Engineering - 20th International Conference, ICWE 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12128 LNCS, Springer, pp. 19-26, International Conference on Web Engineering, Helsinki, Finland, 09/06/2020. https://doi.org/10.1007/978-3-030-50578-3_2

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https://urn.fi/URN:NBN:fi:aalto-202008064523

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[article-cris] Sähkötekniikan korkeakoulu / ELEC