Observing users to validate models

Falk Scholer; Paul Thomas; Alistair Moffat

Observing users to validate models

Falk Scholer, Paul Thomas, Alistair Moffat

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

Abstract

User models serve two purposes: to help us understand users, and hence determine how to supply them with effective search services; and as a framework against which to evaluate the quality of those services once they have been developed. In this extended abstract we describe an experiment we have undertaken in which we observe user behaviours, and try to determine whether these behaviours can be connected to search quality metrics via an existing or novel user model. We provide summary evidence that suggests that the answer is a qualified ï¿½yesï¿½.

Original language	English
Title of host publication	Proceedings of Workshop on Modeling User Behavior for Information Retrieval Evaluation
Place of Publication	unknown
Publisher	SIGIR 2013 Workshop proceedings
Pages	11-12
Edition	Peer Reviewed
Publication status	Published - 2013
Event	Workshop on Modeling User Behavior for Information Retrieval Evaluation (MUBE 2013 and SIGIR 2013) - Dublin Ireland Duration: 1 Jan 2013 → …

Conference

Conference	Workshop on Modeling User Behavior for Information Retrieval Evaluation (MUBE 2013 and SIGIR 2013)
Period	1/01/13 → …
Other	August 1 2013

Cite this

@inproceedings{3379b1e869ee4c00a652db3430a7cec1,

title = "Observing users to validate models",

abstract = "User models serve two purposes: to help us understand users, and hence determine how to supply them with effective search services; and as a framework against which to evaluate the quality of those services once they have been developed. In this extended abstract we describe an experiment we have undertaken in which we observe user behaviours, and try to determine whether these behaviours can be connected to search quality metrics via an existing or novel user model. We provide summary evidence that suggests that the answer is a qualified {\"i}¿½yes{\"i}¿½.",

author = "Falk Scholer and Paul Thomas and Alistair Moffat",

year = "2013",

language = "English",

pages = "11--12",

booktitle = "Proceedings of Workshop on Modeling User Behavior for Information Retrieval Evaluation",

publisher = "SIGIR 2013 Workshop proceedings",

edition = "Peer Reviewed",

note = "Workshop on Modeling User Behavior for Information Retrieval Evaluation (MUBE 2013 and SIGIR 2013) ; Conference date: 01-01-2013",

}

TY - GEN

T1 - Observing users to validate models

AU - Scholer, Falk

AU - Thomas, Paul

AU - Moffat, Alistair

PY - 2013

Y1 - 2013

N2 - User models serve two purposes: to help us understand users, and hence determine how to supply them with effective search services; and as a framework against which to evaluate the quality of those services once they have been developed. In this extended abstract we describe an experiment we have undertaken in which we observe user behaviours, and try to determine whether these behaviours can be connected to search quality metrics via an existing or novel user model. We provide summary evidence that suggests that the answer is a qualified ï¿½yesï¿½.

AB - User models serve two purposes: to help us understand users, and hence determine how to supply them with effective search services; and as a framework against which to evaluate the quality of those services once they have been developed. In this extended abstract we describe an experiment we have undertaken in which we observe user behaviours, and try to determine whether these behaviours can be connected to search quality metrics via an existing or novel user model. We provide summary evidence that suggests that the answer is a qualified ï¿½yesï¿½.

M3 - Conference contribution

SP - 11

EP - 12

BT - Proceedings of Workshop on Modeling User Behavior for Information Retrieval Evaluation

PB - SIGIR 2013 Workshop proceedings

CY - unknown

T2 - Workshop on Modeling User Behavior for Information Retrieval Evaluation (MUBE 2013 and SIGIR 2013)

Y2 - 1 January 2013

ER -

Observing users to validate models

Abstract

Conference

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