Dynamic path prediction and recommendation in a museum environment

Karl Grieser; Timothy Baldwin; Steven Bird

Dynamic path prediction and recommendation in a museum environment

Karl Grieser, Timothy Baldwin, Steven Bird

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

This research is concerned with making recommendations to museum visitors
based on their history within the physical environment, and textual information associated with each item in their history. We investigate a method of providing
such recommendations to users through a combination of language modelling
techniques, geospatial modelling of the physical space, and observation of sequences of locations visited by other users in the past. This study compares
and analyses different methods of path prediction including an adapted naive
Bayes method, document similarity, visitor feedback and measures of lexical similarity.

Original language	English
Title of host publication	Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).
Publisher	Association for Computational Linguistics (ACL)
Pages	49-56
Number of pages	8
Publication status	Published - Jun 2007
Externally published	Yes
Event	Workshop on Language Technology for Cultural Heritage Data - Prague, Czech Republic Duration: 28 Jun 2007 → 28 Jun 2007

Conference

Conference	Workshop on Language Technology for Cultural Heritage Data
Abbreviated title	LaTeCH@ACL 2007
Country/Territory	Czech Republic
City	Prague
Period	28/06/07 → 28/06/07

Bibliographical note

http://eprints.infodiv.unimelb.edu.au/archive/00002727/

Access to Document

https://www.aclweb.org/anthology/W07-0907Licence: Other

Cite this

@inproceedings{7fe851bb2fcf43038121ac7621e3fd68,

title = "Dynamic path prediction and recommendation in a museum environment",

abstract = "This research is concerned with making recommendations to museum visitorsbased on their history within the physical environment, and textual information associated with each item in their history. We investigate a method of providingsuch recommendations to users through a combination of language modellingtechniques, geospatial modelling of the physical space, and observation of sequences of locations visited by other users in the past. This study comparesand analyses different methods of path prediction including an adapted naiveBayes method, document similarity, visitor feedback and measures of lexical similarity.",

author = "Karl Grieser and Timothy Baldwin and Steven Bird",

note = "http://eprints.infodiv.unimelb.edu.au/archive/00002727/; Workshop on Language Technology for Cultural Heritage Data, LaTeCH@ACL 2007 ; Conference date: 28-06-2007 Through 28-06-2007",

year = "2007",

month = jun,

language = "English",

pages = "49--56",

booktitle = "Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).",

publisher = "Association for Computational Linguistics (ACL)",

}

Grieser, K, Baldwin, T & Bird, S 2007, Dynamic path prediction and recommendation in a museum environment. in Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).. Association for Computational Linguistics (ACL), pp. 49-56, Workshop on Language Technology for Cultural Heritage Data, Prague, Czech Republic, 28/06/07. <https://www.aclweb.org/anthology/W07-0907>

Dynamic path prediction and recommendation in a museum environment. / Grieser, Karl; Baldwin, Timothy; Bird, Steven.
Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).. Association for Computational Linguistics (ACL), 2007. p. 49-56.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - Dynamic path prediction and recommendation in a museum environment

AU - Grieser, Karl

AU - Baldwin, Timothy

AU - Bird, Steven

N1 - http://eprints.infodiv.unimelb.edu.au/archive/00002727/

PY - 2007/6

Y1 - 2007/6

N2 - This research is concerned with making recommendations to museum visitorsbased on their history within the physical environment, and textual information associated with each item in their history. We investigate a method of providingsuch recommendations to users through a combination of language modellingtechniques, geospatial modelling of the physical space, and observation of sequences of locations visited by other users in the past. This study comparesand analyses different methods of path prediction including an adapted naiveBayes method, document similarity, visitor feedback and measures of lexical similarity.

AB - This research is concerned with making recommendations to museum visitorsbased on their history within the physical environment, and textual information associated with each item in their history. We investigate a method of providingsuch recommendations to users through a combination of language modellingtechniques, geospatial modelling of the physical space, and observation of sequences of locations visited by other users in the past. This study comparesand analyses different methods of path prediction including an adapted naiveBayes method, document similarity, visitor feedback and measures of lexical similarity.

M3 - Conference Paper published in Proceedings

SP - 49

EP - 56

BT - Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).

PB - Association for Computational Linguistics (ACL)

T2 - Workshop on Language Technology for Cultural Heritage Data

Y2 - 28 June 2007 through 28 June 2007

ER -

Dynamic path prediction and recommendation in a museum environment

Abstract

Conference

Bibliographical note

Access to Document

Fingerprint

Cite this