{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T20:50:45Z","timestamp":1760043045472,"version":"3.41.2"},"reference-count":20,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2004,12,1]],"date-time":"2004-12-01T00:00:00Z","timestamp":1101859200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,12,1]]},"abstract":"<jats:p>During the dot com era the word \u201cpersonalisation\u201d was a hot buzzword. With the fall of the dot com companies the topic has lost momentum. As the killer application for UMTS has yet to be identified, the concept of multi\u2010dimensional\u2010personalisation (MDP) could be a candidate. Using this approach, a recommendation of online content, as well as offline events, can be offered to the user based on their known interests and current location. Instead of having to request this information, the new service concept would proactively provide the information and services \u2013 with the consequence that the right information or service could therefore be offered at the right place, at the right time. Following an overview of the literature, the paper proposes a new approach for MDP, and shows how it extends the existing implementations.<\/jats:p>","DOI":"10.1108\/10662240410566980","type":"journal-article","created":{"date-parts":[[2004,11,2]],"date-time":"2004-11-02T23:45:54Z","timestamp":1099439154000},"page":"379-385","source":"Crossref","is-referenced-by-count":21,"title":["Multi\u2010dimensional\u2010personalisation for location and interest\u2010based recommendation"],"prefix":"10.1108","volume":"14","author":[{"given":"Steffen W.","family":"Schilke","sequence":"first","affiliation":[]},{"given":"Udo","family":"Bleimann","sequence":"additional","affiliation":[]},{"given":"Steven M.","family":"Furnell","sequence":"additional","affiliation":[]},{"given":"Andrew D.","family":"Phippen","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022032020363567100_b1","doi-asserted-by":"crossref","unstructured":"Abowd, G.D. and Mynatt, E.D. 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(1997), \u201cGRAS: an adaptive personalization scheme for hypermedia databases\u201d, Proceedings of the 2nd Conference on Hypertext\u2010Information Retrieval \u2013 Multimedia (HIM \u201997), Universit\u00e4tsverlag Konstanz (UVK), Konstanz, pp. 279\u201092."},{"key":"key2022032020363567100_b10","doi-asserted-by":"crossref","unstructured":"Manber, U., Patel, A. and Robison, J. (2000), \u201cExperience with personalization on Yahoo!\u201d, Communications of the ACM, Vol. 43 No. 8, August.","DOI":"10.1145\/345124.345136"},{"key":"key2022032020363567100_b12","unstructured":"Microsoft (2001), \u201cBuilding user\u2010centric experiences \u2013 an introduction to Microsoft HailStorm\u201d, Microsoft White Paper, March, available at: http:\/\/msdn.microsoft.com\/theshow\/Episode014\/."},{"key":"key2022032020363567100_b9","unstructured":"Mobasher, B., Berendt, B. and Spiliopoulou, M. 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