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

Markku Laine; Ai Nakajima; Niraj Dayama; Antti Oulasvirta

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

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

Markku Laine^*, Ai Nakajima, Niraj Dayama, Antti Oulasvirta

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

7 Citations (Scopus)

325 Downloads (Pure)

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.

Original language	English
Title of host publication	Web Engineering - 20th International Conference, ICWE 2020, Proceedings
Editors	Maria Bielikova, Tommi Mikkonen, Cesare Pautasso
Publisher	Springer
Pages	19-26
Number of pages	8
ISBN (Print)	9783030505776
DOIs	https://doi.org/10.1007/978-3-030-50578-3_2
Publication status	Published - 1 Jan 2020
MoE publication type	A4 Conference publication
Event	International Conference on Web Engineering - Helsinki, Finland Duration: 9 Jun 2020 → 12 Jun 2020 Conference number: 20

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12128 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Web Engineering
Abbreviated title	ICWE
Country/Territory	Finland
City	Helsinki
Period	09/06/2020 → 12/06/2020

Keywords

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

Access to Document

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

icwe2020_laine_laas_paperAccepted author manuscript, 2.28 MB

Cite this

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 (pp. 19-26). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12128 LNCS). Springer. https://doi.org/10.1007/978-3-030-50578-3_2

Laine, Markku ; Nakajima, Ai ; Dayama, Niraj et al. / Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts. Web Engineering - 20th International Conference, ICWE 2020, Proceedings. editor / Maria Bielikova ; Tommi Mikkonen ; Cesare Pautasso. Springer, 2020. pp. 19-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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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author = "Markku Laine and Ai Nakajima and Niraj Dayama and Antti Oulasvirta",

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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

Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts. / Laine, Markku; Nakajima, Ai; Dayama, Niraj et al.
Web Engineering - 20th International Conference, ICWE 2020, Proceedings. ed. / Maria Bielikova; Tommi Mikkonen; Cesare Pautasso. Springer, 2020. p. 19-26 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12128 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts

AU - Laine, Markku

AU - Nakajima, Ai

AU - Dayama, Niraj

AU - Oulasvirta, Antti

N1 - Conference code: 20

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

KW - Self-adaptive web interfaces

KW - Web layouts

KW - Web personalization

KW - Web service architectures

KW - Web-based interaction

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

M3 - Conference article in proceedings

AN - SCOPUS:85087029584

SN - 9783030505776

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 19

EP - 26

BT - Web Engineering - 20th International Conference, ICWE 2020, Proceedings

A2 - Bielikova, Maria

A2 - Mikkonen, Tommi

A2 - Pautasso, Cesare

PB - Springer

T2 - International Conference on Web Engineering

Y2 - 9 June 2020 through 12 June 2020

ER -

Laine M, Nakajima A, Dayama N, Oulasvirta A. Layout as a Service (LaaS): A Service Platform for Self-Optimizing Web Layouts. In Bielikova M, Mikkonen T, Pautasso C, editors, Web Engineering - 20th International Conference, ICWE 2020, Proceedings. Springer. 2020. p. 19-26. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-50578-3_2

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

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