Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Fabian Bohnert"'
Publikováno v:
Computational Linguistics, Vol 40, Iss 2 (2022)
Externí odkaz:
https://doaj.org/article/51df0bf31f5d4dfa944a7b47c68dd76b
Publikováno v:
Scopus-Elsevier
Monash University
Monash University
Authorship attribution deals with identifying the authors of anonymous texts. Recently, we found that the Latent Dirichlet Allocation (LDA) topic model can be used to improve authorship attribution accuracy. We build on this finding and show that emp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bd3045b62b7c62c92eb7de67eb7341
Publikováno v:
Computational Linguistics. 40:269-310
Authorship attribution deals with identifying the authors of anonymous texts. Traditionally, research in this field has focused on formal texts, such as essays and novels, but recently more attention has been given to texts generated by on-line users
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 4:1-23
We present PromotionRank, a technique for generating a personalized ranking of grocery product promotions based on the contents of the customer’s personal shopping list. PromotionRank consists of four phases. First, information retrieval techniques
Autor:
Fabian Bohnert, Ingrid Zukerman
Publikováno v:
User Modeling and User-Adapted Interaction. 24:263-314
People are often overwhelmed by the large amount of information provided in museum spaces, which makes it difficult for them to select exhibits of potential interest. As a first step in recommending exhibits where a visitor may wish to spend some tim
Publikováno v:
Journal on Computing and Cultural Heritage. 3:1-20
Exhibits within cultural heritage collections such as museums and art galleries are arranged by experts with intimate knowledge of the domain, but there may exist connections between individual exhibits that are not evident in this representation. Fo
Publikováno v:
Monash University
Museums offer vast amounts of information, but a visitor's receptivity and time are typically limited, providing the visitor with the challenge of selecting the (subjectively) interesting exhibits to view within the available time. Mobile, electronic
Publikováno v:
User Modeling, Adaptation, and Personalization ISBN: 9783642314537
UMAP
Monash University
UMAP
Monash University
We present Geckommender, a mobile system for personalised theme and tour recommendations in museums, based on a digital site-map representation. Star ratings provided by visitors for seen exhibits are used to predict ratings for unvisited exhibits. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5302de419d2eb9135210fe388b346fb
https://doi.org/10.1007/978-3-642-31454-4_3
https://doi.org/10.1007/978-3-642-31454-4_3
Autor:
Gwyn Rees, Lucy Busija, Melanie Larizza, R. Andrew Russell, Fabian Bohnert, David W. Albrecht, Ingrid Zukerman
Publikováno v:
User Modeling, Adaptation, and Personalization ISBN: 9783642314537
UMAP
UMAP
The ageing of the world population is leading to an increased number of elderly people remaining in their homes, requiring different levels of care. MIA is a user-centric project aimed at monitoring elderly people in order to help them remain safely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce729878d6ab65a33ee9966cdd8b12a8
https://doi.org/10.1007/978-3-642-31454-4_12
https://doi.org/10.1007/978-3-642-31454-4_12
Publikováno v:
HT
In recent years, personalised recommendations have gained importance in helping users deal with the abundance of information available online. Personalised recommendations are often based on rating predictions, and thus accurate rating prediction is