Predictive algorithms for browser support of habitual user activities on the Web

Janez Brank; Natasa Milic Frayling; Anthony Frayling; Gavin Smyth

doi:10.1109/WI.2005.116

Predictive algorithms for browser support of habitual user activities on the Web

Janez Brank^*, Natasa Milic Frayling, Anthony Frayling, Gavin Smyth

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Routine user activities on the Web result in the revisitation of Web sites and pages. Standard browser applications provide limited support for this type of habitual behaviour. They typically expose lists of visited URLs that are automatically recorded by the system or manually created by the user, such as bookmarks. Studies have shown that these approaches are not successful in supporting routine user activities. Informed by our user research we designed a browser feature that automatically exposes candidate URLs for revisitation by the user. In this paper we describe and evaluate the algorithms that we use to model the user's habitual behaviour. We demonstrate how a structured navigation history model facilitates the discovery of relevant usage patterns and supports predictive algorithms that are applicable to relatively short personal navigation histories.

Original language	English
Title of host publication	Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Pages	629-635
Number of pages	7
DOIs	https://doi.org/10.1109/WI.2005.116
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005 - Compiegne Cedex, France Duration: 19 Sept 2005 → 22 Sept 2005

Publication series

Name	Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Volume	2005

Conference

Conference	2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005
Country/Territory	France
City	Compiegne Cedex,
Period	19/09/05 → 22/09/05

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10.1109/WI.2005.116

Cite this

Brank, J., Frayling, N. M., Frayling, A., & Smyth, G. (2005). Predictive algorithms for browser support of habitual user activities on the Web. In Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005 (pp. 629-635). Article 1517923 (Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005; Vol. 2005). https://doi.org/10.1109/WI.2005.116

@inproceedings{cd6865a88a0f47e78300e4d924b42c86,

title = "Predictive algorithms for browser support of habitual user activities on the Web",

abstract = "Routine user activities on the Web result in the revisitation of Web sites and pages. Standard browser applications provide limited support for this type of habitual behaviour. They typically expose lists of visited URLs that are automatically recorded by the system or manually created by the user, such as bookmarks. Studies have shown that these approaches are not successful in supporting routine user activities. Informed by our user research we designed a browser feature that automatically exposes candidate URLs for revisitation by the user. In this paper we describe and evaluate the algorithms that we use to model the user's habitual behaviour. We demonstrate how a structured navigation history model facilitates the discovery of relevant usage patterns and supports predictive algorithms that are applicable to relatively short personal navigation histories.",

author = "Janez Brank and Frayling, {Natasa Milic} and Anthony Frayling and Gavin Smyth",

year = "2005",

doi = "10.1109/WI.2005.116",

language = "English",

isbn = "076952415X",

series = "Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005",

pages = "629--635",

booktitle = "Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005",

note = "2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005 ; Conference date: 19-09-2005 Through 22-09-2005",

}

Brank, J, Frayling, NM, Frayling, A & Smyth, G 2005, Predictive algorithms for browser support of habitual user activities on the Web. in Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005., 1517923, Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005, vol. 2005, pp. 629-635, 2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005, Compiegne Cedex, France, 19/09/05. https://doi.org/10.1109/WI.2005.116

Predictive algorithms for browser support of habitual user activities on the Web. / Brank, Janez; Frayling, Natasa Milic; Frayling, Anthony et al.
Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. 2005. p. 629-635 1517923 (Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005; Vol. 2005).

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

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AB - Routine user activities on the Web result in the revisitation of Web sites and pages. Standard browser applications provide limited support for this type of habitual behaviour. They typically expose lists of visited URLs that are automatically recorded by the system or manually created by the user, such as bookmarks. Studies have shown that these approaches are not successful in supporting routine user activities. Informed by our user research we designed a browser feature that automatically exposes candidate URLs for revisitation by the user. In this paper we describe and evaluate the algorithms that we use to model the user's habitual behaviour. We demonstrate how a structured navigation history model facilitates the discovery of relevant usage patterns and supports predictive algorithms that are applicable to relatively short personal navigation histories.

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ER -

Predictive algorithms for browser support of habitual user activities on the Web

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