W03-2704 presented here is to examine whether personalisation of a speech-enabled system offers
W01-1004 We are now also extending the personalisation techniques to account for user
W03-2704 Harrikari et al. , 2002 ) . For the personalisation tests only the monolingual English
N13-1016 images in the candidate set . The personalisation vector used by PPR is employed
N13-1016 using visual features and the personalisation vector created using PMI scores
N13-1016 results are obtained when the personalisation vector is weighted using PMI
N13-1016 respectively ) . Weighting the personalisation vector using ESA consistently
E14-1053 Domingos ( 2002 ) first used PageRank personalisation for specialisation at search
C96-1043 of repetition , and proximity / personalisation , which were both given scores
S15-1003 score of each synset Sc in the personalisation vector v , is set to 1 | Sc |
W03-2704 that it can be used for content personalisation by a set of applications . This
N13-1016 of candidates . We refer to the personalisation vectors created using PMI and
N13-1016 the Personalisation Vector The personalisation vector ( see above ) is weighted
W03-2704 now to the PGIS application . 3 Personalisation The Personalisation Module is
W03-2704 PGIS Server Side System and the Personalisation Module is shown in Figure 3 .
N13-1016 and ESA are used to weight the personalisation vector they compute the similarity
W03-2704 maintaining user preferences . The Personalisation Module architecturally consists
W02-1702 to suit the user 's needs . The personalisation of the document is achieved through
W03-2704 architecture over the Internet . The Personalisation Module ( PM ) is defined in a
S15-1003 context feature i belongs . The personalisation value of all the other sysnets
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