Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Damir Vandic"'
Publikováno v:
Information Fusion, 53, 103-111. Elsevier
Consumers are increasingly using the Web to find product information and make online purchases. This is reflected by the ongoing growth of worldwide e-commerce sales figures. Entity resolution is an important task that supports many services that hav
Publikováno v:
Proceedings-IEEE 34th International Conference on Data Engineering, ICDE 2018, 1813-1814
STARTPAGE=1813;ENDPAGE=1814;TITLE=Proceedings-IEEE 34th International Conference on Data Engineering, ICDE 2018
ICDE
STARTPAGE=1813;ENDPAGE=1814;TITLE=None
STARTPAGE=1813;ENDPAGE=1814;TITLE=Proceedings-IEEE 34th International Conference on Data Engineering, ICDE 2018
ICDE
STARTPAGE=1813;ENDPAGE=1814;TITLE=None
Currently many webshops rely on a fixed list of product facets to help users find the products of interest. Such a solution suffers from two problems: (1) it is difficult to devise a fixed list of facets that would satisfy all user interests, and (2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1bff7fffc446b5763cf93f106dc2174
https://research.tue.nl/nl/publications/7afeb2d1-36b4-4db0-901e-7bcc202e2a6f
https://research.tue.nl/nl/publications/7afeb2d1-36b4-4db0-901e-7bcc202e2a6f
Publikováno v:
Expert Systems with Applications, 42(3), 1298-1313. Elsevier Ltd.
We propose an algorithm for automatic product taxonomy mapping in e-commerce.The algorithm uses word sense disambiguation techniques to handle heterogeneity.Our algorithm copes with composite categories in product category names.We compute path-simil
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering, 29(5):7815437, 1004-1016. IEEE Computer Society
IEEE Transactions on Knowledge and Data Engineering, 29(5), 1004-1016. IEEE Computer Society
IEEE Transactions on Knowledge and Data Engineering, 29(5), 1004-1016. IEEE Computer Society
Faceted browsing is widely used in Web shops and product comparison sites. In these cases, a fixed ordered list of facets is often employed. This approach suffers from two main issues. First, one needs to invest a significant amount of time to devise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9595318adc72f1ef7e9019c1fc21ca6
https://research.tue.nl/nl/publications/5f3d8ccf-a244-47e7-a755-0a02ef62f77c
https://research.tue.nl/nl/publications/5f3d8ccf-a244-47e7-a755-0a02ef62f77c
Publikováno v:
Decision Support Systems, 59, 296-311. Elsevier
With the vast amount of information available on the Web, there is an urgent need to structure Web data in order to make it available to both users and machines. E-commerce is one of the areas in which growing data congestion on the Web impedes data
Autor:
Flavius Frasincar, Iris van Dam, Gerhard van Ginkel, Damir Vandic, Wim Kuipers, Nikki Nijenhuis
Publikováno v:
SAC
31st Annual ACM Symposium on Applied Computing (SAC 2016), 772-779
STARTPAGE=772;ENDPAGE=779;TITLE=31st Annual ACM Symposium on Applied Computing (SAC 2016)
31st Annual ACM Symposium on Applied Computing (SAC 2016), 772-779
STARTPAGE=772;ENDPAGE=779;TITLE=31st Annual ACM Symposium on Applied Computing (SAC 2016)
The amount of online shops is growing daily and many Web shops focus on the same product types, like consumer electronics. Since Web shops use different product representations, it is hard to compare products among different Web shops. Duplicate dete
Publikováno v:
Decision Support Systems, 54(1), 644-654. Elsevier
In this paper we propose the Semantic Tag Clustering Search (STCS) framework for enhancing the user experience in interacting with tagging systems. This framework consists of three parts. The first part deals with syntactic variations by finding clus
Publikováno v:
30th ACM/SIGAPP Symposium on Applied Computing (SAC 2015), 353-359
STARTPAGE=353;ENDPAGE=359;TITLE=30th ACM/SIGAPP Symposium on Applied Computing (SAC 2015)
SAC
STARTPAGE=353;ENDPAGE=359;TITLE=30th ACM/SIGAPP Symposium on Applied Computing (SAC 2015)
SAC
In order to efficiently disclose the ever-growing amount of distributed RDF data in Semantic Web environments, RDF query engines must optimize the join order of partial query results. Existing methods include two-phase optimization (2PO), a genetic a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f91bbff231cad70ba5e13a3fe7175a8f
https://doi.org/10.1145/2695664.2695711
https://doi.org/10.1145/2695664.2695711
Publikováno v:
SAC
30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015), 732-739
STARTPAGE=732;ENDPAGE=739;TITLE=30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015)
30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015), 732-739
STARTPAGE=732;ENDPAGE=739;TITLE=30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015)
Content-based news recommendation is traditionally performed using the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semantics-driven variants such as SF-IDF additionally take into account t
Publikováno v:
WWW (Companion Volume)
STARTPAGE=391;ENDPAGE=392;TITLE=Twenty-Third International World Wide Web Conference (WWW 2014)
STARTPAGE=391;ENDPAGE=392;TITLE=Twenty-Third International World Wide Web Conference (WWW 2014)
With the vast amount of information available on the Web, there is an increasing need to structure Web data in order to make it accessible to both users and machines. E-commerce is one of the areas in which growing data congestion on the Web has seri