dc.contributor.author |
Widisinghe, AR |
|
dc.contributor.author |
Ranasinghe, RADR |
|
dc.contributor.author |
Kulathilaka, HKC |
|
dc.contributor.author |
Kaluarachchi, RI |
|
dc.contributor.author |
Wimalawama, K |
|
dc.contributor.editor |
Gunasekara, C |
|
dc.contributor.editor |
Wijegunawardana, P |
|
dc.contributor.editor |
Pavalanathan, U |
|
dc.date.accessioned |
2022-12-06T06:12:10Z |
|
dc.date.available |
2022-12-06T06:12:10Z |
|
dc.date.issued |
2010-09 |
|
dc.identifier.citation |
****** |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/19683 |
|
dc.description.abstract |
As the World Wide Web becomes a large source of
images, the image recommendation system has got a great
demand. There are several image recommendation systems for
both commercial and academic areas, which deal with the
preference as fixed. However, since the Images preferred by a
user may change depending on the contexts, the conventional
systems have inherent problems. This paper proposes a contextaware
image recommendation service (picSEEK) that exploits
the collaborative-filtering to recommend appropriate images with
respect to the context. We have analyzed the recommendation
process and performed a subjective test to show the usefulness of
the proposed system. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa. |
en_US |
dc.subject |
Context-awareness |
en_US |
dc.subject |
Image recommendation system |
en_US |
dc.subject |
Collaborative-filtering |
en_US |
dc.subject |
Image retrieval |
en_US |
dc.title |
Picseek - collaborative filtering for context-based image recommendation |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Computer Science and Engineering |
en_US |
dc.identifier.year |
2010 |
en_US |
dc.identifier.conference |
CS & ES Conference 2010 |
en_US |
dc.identifier.place |
Moratuwa. Sri Lanka |
en_US |
dc.identifier.pgnos |
pp. 79-85 |
en_US |
dc.identifier.proceeding |
Proceedings of the CS & ES Conference 2010 |
en_US |