research-article

Activity-based serendipitous recommendations with the Magitti mobile leisure guide

Authors:

Victoria Bellotti,

Nicolas Ducheneaut,

Mark W. Newman,

Kurt Partridge,

Paul Rasmussen,

Michael Roberts,

Diane J. Schiano,

Alan WalendowskiAuthors Info & Claims

CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1157 - 1166

https://doi.org/10.1145/1357054.1357237

Published: 06 April 2008 Publication History

Abstract

This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and, without its user having to issue a query, automatically generates recommendations for content matching. Extensive field studies of leisure time practices in an urban setting (Tokyo) motivated the idea, shaped the details of its design and provided data describing typical behavior patterns. The paper describes the fieldwork, user interface, system components and functionality, and an evaluation of the Magitti prototype.

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Index Terms

Activity-based serendipitous recommendations with the Magitti mobile leisure guide
1. Applied computing
2. Information systems

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cover image ACM Conferences

CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2008

1870 pages

ISBN:9781605580111

DOI:10.1145/1357054

General Chairs:
Mary Czerwinski
Microsoft Research, USA
,
Arnie Lund
Microsoft, USA
,
Program Chair:
Desney Tan
Microsoft Research, USA

Copyright © 2008 ACM.

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Published: 06 April 2008

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CHI '08: CHI Conference on Human Factors in Computing Systems

April 5 - 10, 2008

Florence, Italy

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CHI '08 Paper Acceptance Rate 157 of 714 submissions, 22%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Karimi PPlebani EMartin-Hammond ABolchini D(2022)Textflow: Toward Supporting Screen-free Manipulation of Situation-Relevant Smart MessagesACM Transactions on Interactive Intelligent Systems10.1145/351926312:4(1-29)Online publication date: 5-Nov-2022
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McCay-Peet LToms E(2022)Researching Serendipity in Digital Information EnvironmentsundefinedOnline publication date: 10-Mar-2022
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Chen YMa JDu YSun RNiu B(2021)Research on Elementary School Students’ Books Recommendation Algorithm Based on Words and Character Library2021 2nd International Conference on Artificial Intelligence and Information Systems10.1145/3469213.3470228(1-5)Online publication date: 28-May-2021
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