RecoMap : an interactive and adaptive map-based recommender

Title: RecoMap : an interactive and adaptive map-based recommender
Authors: Ballatore, Andrea
McArdle, Gavin
Kelly, Caitriona
Bertolotto, Michela
Permanent link: http://hdl.handle.net/10197/3357
Date: Mar-2010
Abstract: With the growing availability of geo-referenced information on the Web, the problem of spatial information overload has attracted interest both in the commercial and academic world. In order to tackle this issue, personalisation techniques can be used to tailor spatial contents based upon user interests. RecoMap, the system described in this paper, deducts user interests by monitoring user interaction and context to provide personalised spatial recommendations. After an overview of existing recommendation systems within the geospatial domain, the novel approach adopted by RecoMap to produce such recommendations is described. A case study related to a university campus setting is used to outline an application of this technique. Details of the implementation and initial testing of this prototype are provided.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM Special Interest Group on Applied Computing
Copyright (published version): 2010 ACM
Keywords: GISRecommender systemsMap personalisationUser profiling
Subject LCSH: Geographic information systems
Web personalization
Recommender systems (Information filtering)
User-centered system design
DOI: 10.1145/1774088.1774273
Language: en
Status of Item: Peer reviewed
Is part of: SAC '10 : Proceedings of the 2010 ACM Symposium on Applied Computing
Conference Details: Paper presented at the ACM 25th Symposium On Applied Computing (SAC’10), March 22-26, 2010, Sierre, Switzerland
Appears in Collections:Computer Science Research Collection

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