Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jiwoon Ha"'
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
We present a novel approach for computing link-based similarities among objects accurately by utilizing the link information pertaining to the objects involved. We discuss the problems with previous link-based similarity measures and propose a novel
Externí odkaz:
https://doaj.org/article/f015496c67fa4a1b81ecf9619ac2aee5
Publikováno v:
Knowledge-Based Systems. 95:114-124
Software plagiarism has become a serious threat to the health of software industry. A software birthmark indicates unique characteristics of a program that can be used to analyze the similarity between two programs and provide proof of plagiarism. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f0d063df0a080ed8f345314606341f7
https://doi.org/10.1016/j.knosys.2015.12.009
https://doi.org/10.1016/j.knosys.2015.12.009
Publikováno v:
Information Sciences. 290:45-62
The increase in the number of bloggers and the amount of information diffused in the blogosphere makes the blogosphere an important medium through which to communicate and exchange information. Accordingly, the interest in understanding the nature of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7525ef6ac305f2258f3b73acbb99893b
https://doi.org/10.1016/j.ins.2014.08.042
https://doi.org/10.1016/j.ins.2014.08.042
Publikováno v:
CIKM
Given "who-trusts/distrusts-whom" information, how can we propagate the trust and distrust? With the appearance of fraudsters in social network sites, the importance of trust prediction has increased. Most such methods use only explicit and implicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7eccb07dff7f6b993b2c61a094a5fc
https://doi.org/10.1145/2983323.2983753
https://doi.org/10.1145/2983323.2983753
Publikováno v:
EDB
Recently, PIN-TRUST, a method to predict future trust relationships between users is proposed. PIN-TRUST out-performs existing trust prediction methods by exploiting all types of interactions between users and the reciprocation of ones. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8565acca1e7bc749a01bbb380febbc6f
https://doi.org/10.1145/3007818.3007827
https://doi.org/10.1145/3007818.3007827
Publikováno v:
SMC
Collaborative filtering methods suffer from a data sparsity problem, which indicates that the accuracy of recommendation decreases when the user-item matrix used in recommendation is sparse. To alleviate the data sparsity problem, researches on data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2790e7f4d4e0c7b247c2de11b00a380b
https://doi.org/10.1109/smc.2016.7844813
https://doi.org/10.1109/smc.2016.7844813
Publikováno v:
SMC
DBpia is the largest digital-bibliography service provider in Korea. It provides several convenience functions for researchers. DBpia users (i.e., researchers) can search for papers via several search routes such as publications, publishers, authors,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d14cca66c49d7afc33bc2534fe8064a4
https://doi.org/10.1109/smc.2016.7844691
https://doi.org/10.1109/smc.2016.7844691
Publikováno v:
HT
To recommend newly-published papers that did not receive any citations yet, this paper proposes a novel method by using the authors' interest on the papers cited in the newly-published paper. Compared to citation-network based methods, the empirical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6059ef866666e0e0b7fc63b7a71ea453
https://doi.org/10.1145/2700171.2791047
https://doi.org/10.1145/2700171.2791047
Publikováno v:
RACS
The problem to retrieve most relevant research papers for a given academic is studied. Existing solutions cannot adequately address the recommendation of new papers due to their lack of history information, the so-called cold start problem. Using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e80b1c7637a15a55a6919f0e3026a5
https://doi.org/10.1145/2663761.2664211
https://doi.org/10.1145/2663761.2664211
Publikováno v:
SAC
In this paper, we present a novel approach to computing link-based similarities among objects accurately. We discuss the problems with previous link-based similarity measures and propose a novel approach that does not suffer from these problems. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce41078ecfcff3178e374373ddffdaf7
https://doi.org/10.1145/2554850.2554906
https://doi.org/10.1145/2554850.2554906