Dynamic path prediction and recommendation in a museum environment

Karl Grieser, Timothy Baldwin, Steven Bird

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-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 languageEnglish
Title of host publicationProceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).
PublisherAssociation for Computational Linguistics (ACL)
Pages49-56
Number of pages8
Publication statusPublished - Jun 2007
Externally publishedYes
EventWorkshop on Language Technology for Cultural Heritage Data - Prague, Czech Republic
Duration: 28 Jun 200728 Jun 2007

Conference

ConferenceWorkshop on Language Technology for Cultural Heritage Data
Abbreviated titleLaTeCH@ACL 2007
CountryCzech Republic
CityPrague
Period28/06/0728/06/07

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