Models of user engagement

Janette Lehmann; Mounia Lalmas; Elad Yom-Tov; Georges Dupret

doi:10.1007/978-3-642-31454-4_14

Models of user engagement

Janette Lehmann, Mounia Lalmas, Elad Yom-Tov, Georges Dupret

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

208 Scopus citations

Abstract

Our research goal is to provide a better understanding of how users engage with online services, and how to measure this engagement. We should not speak of one main approach to measure user engagement - e.g. through one fixed set of metrics - because engagement depends on the online services at hand. Instead, we should be talking of models of user engagement. As a first step, we analysed a number of online services, and show that it is possible to derive effectively simple models of user engagement, for example, accounting for user types and temporal aspects. This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services.

Original language	English
Title of host publication	User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings
Pages	164-175
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-31454-4_14
State	Published - 2012
Externally published	Yes
Event	20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012 - Montreal, QC, Canada Duration: 16 Jul 2012 → 20 Jul 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7379 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012
Country/Territory	Canada
City	Montreal, QC
Period	16/07/12 → 20/07/12

Keywords

diversity of user engagement
models
temporal aspect
user type

Access to Document

10.1007/978-3-642-31454-4_14

Cite this

Lehmann, J., Lalmas, M., Yom-Tov, E., & Dupret, G. (2012). Models of user engagement. In User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings (pp. 164-175). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7379 LNCS). https://doi.org/10.1007/978-3-642-31454-4_14

@inproceedings{cfd0375f491440ddb4a659587b95f27c,

title = "Models of user engagement",

abstract = "Our research goal is to provide a better understanding of how users engage with online services, and how to measure this engagement. We should not speak of one main approach to measure user engagement - e.g. through one fixed set of metrics - because engagement depends on the online services at hand. Instead, we should be talking of models of user engagement. As a first step, we analysed a number of online services, and show that it is possible to derive effectively simple models of user engagement, for example, accounting for user types and temporal aspects. This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services.",

keywords = "diversity of user engagement, models, temporal aspect, user type",

author = "Janette Lehmann and Mounia Lalmas and Elad Yom-Tov and Georges Dupret",

year = "2012",

doi = "10.1007/978-3-642-31454-4_14",

language = "אנגלית",

isbn = "9783642314537",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "164--175",

booktitle = "User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings",

note = "20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012 ; Conference date: 16-07-2012 Through 20-07-2012",

}

Lehmann, J, Lalmas, M, Yom-Tov, E & Dupret, G 2012, Models of user engagement. in User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7379 LNCS, pp. 164-175, 20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012, Montreal, QC, Canada, 16/07/12. https://doi.org/10.1007/978-3-642-31454-4_14

Models of user engagement. / Lehmann, Janette; Lalmas, Mounia; Yom-Tov, Elad et al.
User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings. 2012. p. 164-175 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7379 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Models of user engagement

AU - Lehmann, Janette

AU - Lalmas, Mounia

AU - Yom-Tov, Elad

AU - Dupret, Georges

PY - 2012

Y1 - 2012

N2 - Our research goal is to provide a better understanding of how users engage with online services, and how to measure this engagement. We should not speak of one main approach to measure user engagement - e.g. through one fixed set of metrics - because engagement depends on the online services at hand. Instead, we should be talking of models of user engagement. As a first step, we analysed a number of online services, and show that it is possible to derive effectively simple models of user engagement, for example, accounting for user types and temporal aspects. This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services.

AB - Our research goal is to provide a better understanding of how users engage with online services, and how to measure this engagement. We should not speak of one main approach to measure user engagement - e.g. through one fixed set of metrics - because engagement depends on the online services at hand. Instead, we should be talking of models of user engagement. As a first step, we analysed a number of online services, and show that it is possible to derive effectively simple models of user engagement, for example, accounting for user types and temporal aspects. This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services.

KW - diversity of user engagement

KW - models

KW - temporal aspect

KW - user type

UR - http://www.scopus.com/inward/record.url?scp=84863628031&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-31454-4_14

DO - 10.1007/978-3-642-31454-4_14

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:84863628031

SN - 9783642314537

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

SP - 164

EP - 175

BT - User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings

T2 - 20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012

Y2 - 16 July 2012 through 20 July 2012

ER -

Models of user engagement

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this