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.
Materials from ICWE 2020 (Helsinki, Finland online).
PDF, 2.4 MB
Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts.
In Proceedings of the 20th International Conference on Web Engineering (ICWE '20).
@inproceedings{laine2020_laas,
author={Laine, Markku and Nakajima, Ai and Dayama, Niraj and Oulasvirta, Antti},
editor={Bielikova, Maria and Mikkonen, Tommi and Pautasso, Cesare},
title={Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts},
booktitle={Web Engineering},
year={2020},
publisher={Springer International Publishing},
address={Cham},
pages={19--26},
isbn={978-3-030-50578-3},
doi={10.1007/978-3-030-50578-3\_2}
}
For questions and further information, please contact:
Markku Laine
Email:
markku.laine (at) aalto.fi
Acknowledgements: This work was funded by Technology Industries of Finland project SOWP, EU Project HumaneAI, and the European Research Council (ERC; grant agreement 637991).