Ranking Query Results using Context-Aware Preferences

A.H. van Bunningen; M.M. Fokkinga; Peter M.G. Apers; L. Feng

doi:10.1109/ICDEW.2007.4401003

Ranking Query Results using Context-Aware Preferences

A.H. van Bunningen, M.M. Fokkinga, Peter M.G. Apers, L. Feng

Databases (Former)

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

16 Citations (Scopus)

251 Downloads (Pure)

Abstract

To better serve users’ information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these preferences can differ for each context of the user, we introduce context-aware preferences. To anchor the semantics of context-aware preferences in a traditional probabilistic model of information retrieval, we present a semantics for context-aware preferences based on the history of the user. An advantage of this approach is that the inherent uncertainty of context information, due to the fact that context information is often acquired through sensors, can be easily integrated in the model. To demonstrate the feasibility of our approach and current bottlenecks we provide a naive implementation of our technique based on database views.

Original language	Undefined
Title of host publication	First International Workshop on Ranking in Databases (DBRank 2007)
Place of Publication	Los Alamitos
Publisher	IEEE
Pages	269-276
Number of pages	8
ISBN (Print)	978-1-4244-0832-0
DOIs	https://doi.org/10.1109/ICDEW.2007.4401003
Publication status	Published - 16 Apr 2007
Event	23rd International Conference on Data Engineering, ICDE 2007 - Istanbul, Turkey Duration: 17 Apr 2007 → 20 Apr 2007 Conference number: 23

Publication series

Name
Publisher	IEEE Computer Society Press
Number	1, suppl.

Workshop

Workshop	23rd International Conference on Data Engineering, ICDE 2007
Abbreviated title	ICDE
Country/Territory	Turkey
City	Istanbul
Period	17/04/07 → 20/04/07

Keywords

EWI-10279
METIS-241682
IR-64121

Access to Document

10.1109/ICDEW.2007.4401003

Cite this

@inproceedings{16be62b29afb4b868cd412c38ed243f0,

title = "Ranking Query Results using Context-Aware Preferences",

abstract = "To better serve users{\textquoteright} information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these preferences can differ for each context of the user, we introduce context-aware preferences. To anchor the semantics of context-aware preferences in a traditional probabilistic model of information retrieval, we present a semantics for context-aware preferences based on the history of the user. An advantage of this approach is that the inherent uncertainty of context information, due to the fact that context information is often acquired through sensors, can be easily integrated in the model. To demonstrate the feasibility of our approach and current bottlenecks we provide a naive implementation of our technique based on database views.",

keywords = "EWI-10279, METIS-241682, IR-64121",

author = "{van Bunningen}, A.H. and M.M. Fokkinga and Apers, {Peter M.G.} and L. Feng",

year = "2007",

month = apr,

day = "16",

doi = "10.1109/ICDEW.2007.4401003",

language = "Undefined",

isbn = "978-1-4244-0832-0",

publisher = "IEEE",

number = "1, suppl.",

pages = "269--276",

booktitle = "First International Workshop on Ranking in Databases (DBRank 2007)",

address = "United States",

note = "23rd International Conference on Data Engineering, ICDE 2007 ; Conference date: 17-04-2007 Through 20-04-2007",

}

van Bunningen, AH, Fokkinga, MM, Apers, PMG & Feng, L 2007, Ranking Query Results using Context-Aware Preferences. in First International Workshop on Ranking in Databases (DBRank 2007)., 10.1109/ICDEW.2007.4401003, IEEE, Los Alamitos, pp. 269-276, 23rd International Conference on Data Engineering, ICDE 2007, Istanbul, Turkey, 17/04/07. https://doi.org/10.1109/ICDEW.2007.4401003

TY - GEN

T1 - Ranking Query Results using Context-Aware Preferences

AU - van Bunningen, A.H.

AU - Fokkinga, M.M.

AU - Apers, Peter M.G.

AU - Feng, L.

N1 - Conference code: 23

PY - 2007/4/16

Y1 - 2007/4/16

N2 - To better serve users’ information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these preferences can differ for each context of the user, we introduce context-aware preferences. To anchor the semantics of context-aware preferences in a traditional probabilistic model of information retrieval, we present a semantics for context-aware preferences based on the history of the user. An advantage of this approach is that the inherent uncertainty of context information, due to the fact that context information is often acquired through sensors, can be easily integrated in the model. To demonstrate the feasibility of our approach and current bottlenecks we provide a naive implementation of our technique based on database views.

AB - To better serve users’ information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these preferences can differ for each context of the user, we introduce context-aware preferences. To anchor the semantics of context-aware preferences in a traditional probabilistic model of information retrieval, we present a semantics for context-aware preferences based on the history of the user. An advantage of this approach is that the inherent uncertainty of context information, due to the fact that context information is often acquired through sensors, can be easily integrated in the model. To demonstrate the feasibility of our approach and current bottlenecks we provide a naive implementation of our technique based on database views.

KW - EWI-10279

KW - METIS-241682

KW - IR-64121

U2 - 10.1109/ICDEW.2007.4401003

DO - 10.1109/ICDEW.2007.4401003

M3 - Conference contribution

SN - 978-1-4244-0832-0

SP - 269

EP - 276

BT - First International Workshop on Ranking in Databases (DBRank 2007)

PB - IEEE

CY - Los Alamitos

T2 - 23rd International Conference on Data Engineering, ICDE 2007

Y2 - 17 April 2007 through 20 April 2007

ER -