Activity based links as a ranking factor in semantic desktop search

verfasst von: Julien Gaugaz, Stefania Costache, Paul Alexandru Chirita, Claudiu S. Firan, Wolfgang Nejdl
Abstract: Existing desktop search systems, developed as a reaction to the rapidly increasing storage capacities of our hard disks, are an important step towards more efficient personal information management, yet they offer an incomplete solution. The industrial ones are capable of indexing a vast amount of file types, and the research prototypes can add very comprehensive metadata to increase recall. However, they all rely only on basic ranking techniques, as TFx-IDF, which are comparable to the first generation of web search engines. In this paper we propose to connect semantically related desktop items by exploiting activity information about accesses to local resources. We investigate and evaluate in detail the possibilities to translate this information into a desktop linkage structure, and we propose several algorithms that exploit these newly created links in order to efficiently rank desktop items. Finally, we show that the ranking results based on the user activity links surpass both TFxIDF ranking scores, as well as the rankings generated using the schema based approaches we devised in our previous work.
Organisationseinheit(en): Forschungszentrum L3S
Externe Organisation(en): Adobe Systems Incorporated
Typ: Aufsatz in Konferenzband
Seiten: 49-57
Anzahl der Seiten: 9
Publikationsdatum: 10.2008
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Computernetzwerke und -kommunikation, Kommunikation
Elektronische Version(en): https://doi.org/10.1109/LA-WEB.2008.7 (Zugang: Geschlossen)

BibTeX

@inproceedings{14462f2c04d448b28d2b5afd2c79ff58,
title = "Activity based links as a ranking factor in semantic desktop search",
abstract = "Existing desktop search systems, developed as a reaction to the rapidly increasing storage capacities of our hard disks, are an important step towards more efficient personal information management, yet they offer an incomplete solution. The industrial ones are capable of indexing a vast amount of file types, and the research prototypes can add very comprehensive metadata to increase recall. However, they all rely only on basic ranking techniques, as TFx-IDF, which are comparable to the first generation of web search engines. In this paper we propose to connect semantically related desktop items by exploiting activity information about accesses to local resources. We investigate and evaluate in detail the possibilities to translate this information into a desktop linkage structure, and we propose several algorithms that exploit these newly created links in order to efficiently rank desktop items. Finally, we show that the ranking results based on the user activity links surpass both TFxIDF ranking scores, as well as the rankings generated using the schema based approaches we devised in our previous work.",
author = "Julien Gaugaz and Stefania Costache and Chirita, {Paul Alexandru} and Firan, {Claudiu S.} and Wolfgang Nejdl",
year = "2008",
month = oct,
doi = "10.1109/LA-WEB.2008.7",
language = "English",
isbn = "9780769533971",
series = "Proceedings of the Latin American Web Conference, LA-WEB 2008",
publisher = "IEEE Computer Society",
pages = "49--57",
booktitle = "Proceedings of the Latin American Web Conference, LA-WEB 2008",
address = "United States",
note = "Latin American Web Conference, LA-WEB 2008 ; Conference date: 28-10-2008 Through 30-10-2008",
}