Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dhruv Khattar"'
Publikováno v:
WWW
In recent times, fake news and misinformation have had a disruptive and adverse impact on our lives. Given the prominence of microblogging networks as a source of news for most individuals, fake news now spreads at a faster pace and has a more profou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ff649af899229931d67050df967b882
https://doi.org/10.1145/3308558.3313552
https://doi.org/10.1145/3308558.3313552
Publikováno v:
CIKM
An effective news recommendation system should harness the historical information of the user based on her interactions as well as the content of the articles. In this paper we propose a novel deep learning model for news recommendation which utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cd263889c314537aab568b769700265
https://doi.org/10.1145/3269206.3269307
https://doi.org/10.1145/3269206.3269307
Publikováno v:
ICDM Workshops
Deep neural networks have yielded immense success in speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks for content based recommendation has received a relatively less amount of inspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64f6d0c781d186adfd74aaf408b3e922
https://doi.org/10.1109/icdmw.2017.105
https://doi.org/10.1109/icdmw.2017.105
Publikováno v:
ICDM Workshops
It is very crucial for news aggregator websites which are recent in the market to actively engage its existing users. A recommendation system would help to tackle such a problem. However, due to the lack of sufficient amount of data, most of the stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d0c1fb2a2c473c0110bc150cd9b5ba3
https://doi.org/10.1109/icdmw.2017.104
https://doi.org/10.1109/icdmw.2017.104
Publikováno v:
ICDM Workshops
One of the most important and challenging problems in recommendation systems is that of modeling temporal behavior. Typically, modeling temporal behavior increases the cost of parameter inference and estimation. Along with it, it also poses the const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8964d120c09af0f8189e050b75f9a1b
https://doi.org/10.1109/icdmw.2017.106
https://doi.org/10.1109/icdmw.2017.106
Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on articles. The article fails to fulfill the promise made by the headli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7dfd826b10152417244fee9413dc9d9
