Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Taushif Anwar"'
Autor:
Mohammad Ahmar Khan, Ghufran Ahmad Khan, Jalaluddin Khan, Taushif Anwar, Zubair Ashraf, Ibrahim A. Atoum, Naved Ahmad, Mohammad Shahid, Mohammad Ishrat, Abdulrahman Abdullah Alghamdi
Publikováno v:
IEEE Access, Vol 11, Pp 60681-60692 (2023)
Ongoing researches on multiple view data are showing competitive behavior in the machine learning field. Multi-view clustering has gained widespread acceptance for managing multi-view data and improves clustering efficiency. Large dimensionality in d
Externí odkaz:
https://doaj.org/article/cb6d797aad32487c8b4d10d9927eead6
Autor:
Taushif Anwar, V. Uma
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 3, Pp 793-800 (2022)
Recommender system suggests a personalized recommendation by filtering the information based on users interest. Nowadays, users like to purchase the best possible items and services to spend the shortest span of time. The cross-domain recommendation
Externí odkaz:
https://doaj.org/article/d082cc8fb2d742dd8ee3862defd602e5
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b53bfbd691fc072d2a5eab4fb3d30a
https://doi.org/10.1109/tcss.2022.3233781
https://doi.org/10.1109/tcss.2022.3233781
Publikováno v:
Multimedia Tools and Applications. 81:35693-35711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b8f7ce26b4de7b438279a30efa1a15
https://doi.org/10.1007/s11042-021-11883-z
https://doi.org/10.1007/s11042-021-11883-z
Autor:
V. Uma, Taushif Anwar
Publikováno v:
International Journal of System Assurance Engineering and Management. 12:426-436
The increasing demand for personalized information has resulted in the development of the Recommender System (RS). RS has been widely utilized and broadly studied to suggest the interests of users and make an appropriate recommendation. This paper gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245d6aa856944fc8d4133eaf043e41bc
https://doi.org/10.1007/s13198-021-01087-x
https://doi.org/10.1007/s13198-021-01087-x
Publikováno v:
International Journal of Information Technology & Decision Making. 20:1075-1093
In recommender systems, Collaborative Filtering (CF) plays an essential role in promoting recommendation services. The conventional CF approach has limitations, namely data sparsity and cold-start. The matrix decomposition approach is demonstrated to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::622260c5b066710bba1a6f246aca15ac
https://doi.org/10.1142/s0219622021500310
https://doi.org/10.1142/s0219622021500310
E-commerce and online business are getting too much attention and popularity in this era. A significant challenge is helping a customer through the recommendation of a big list of items to find the one they will like the most efficiently. The most im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::768fea8a5783c2dd2cb33e0c67c41909
https://doi.org/10.4018/978-1-7998-2566-1.ch010
https://doi.org/10.4018/978-1-7998-2566-1.ch010
Autor:
V. Uma, Taushif Anwar
Publikováno v:
EAI/Springer Innovations in Communication and Computing ISBN: 9783030413675
Information and communication technologies (ICTs) currently play a role in pervasive assistive tools in our daily life. Their usage is fast growing in various domains like healthcare, e-learning, e-government, e-tourism, banking sector, etc. Nowadays
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34378ea802088553afd55f37995330f4
https://doi.org/10.1007/978-3-030-41368-2_7
https://doi.org/10.1007/978-3-030-41368-2_7
The global naming systems are used to resolve the DNS (domain name system) queries by providing the IP address of a particular domain. Humans are familiar in remembering the text rather than numbers. So the DNS servers help in resolving the human-rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4db05a17900253c2776d315e9d28ac9f
https://doi.org/10.4018/978-1-7998-0186-3.ch008
https://doi.org/10.4018/978-1-7998-0186-3.ch008
Autor:
Taushif Anwar, V. Uma
Publikováno v:
2019 International Conference on Smart Structures and Systems (ICSSS).
Recent years have observed an excellent success of recommender system in the field of movies, social network, tourism and e-commerce (such as eBay and Amazon). Recommender system transforms geophysical restrictions and allows business and individuals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eaa9b84423397ae9d7c488a87486e11
https://doi.org/10.1109/icsss.2019.8882864
https://doi.org/10.1109/icsss.2019.8882864