Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Siva Gurumurthy"'
Autor:
Hanglem Sonibala Devi, Dhanaraj Singh Thokchom, Thiyam Jefferson Singh, Siva Gurumurthy, Jinus S. Senjam, Yumlembam Rupert Anand, Tracila Meinam, Thoudam Santosh Singh, Kangjam Tilotama, Khumukcham Nongalleima, Koijam Melanglen
Publikováno v:
Chemo-Biological Systems for CO2 Utilization ISBN: 9780429317187
Chemo-Biological Systems for CO2 Utilization
Chemo-Biological Systems for CO2 Utilization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17fefb86a8f2d15014ce146fcd9362db
https://doi.org/10.1201/9780429317187-13
https://doi.org/10.1201/9780429317187-13
Publikováno v:
Interfaces. 45:98-107
The who-to-follow system at Twitter is an algorithmic data product that recommends accounts for Twitter users to follow. Building the system involved algorithmic, analytics, operational, and experimental challenges; operations research and analytics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83a81b554a3f608e3f3ef1ebd8a63663
https://doi.org/10.1287/inte.2014.0784
https://doi.org/10.1287/inte.2014.0784
Autor:
Gautam Das, Rahul Singh, Siva Gurumurthy, Dipanjan Chakraborty, Amit A. Nanavati, Sougata Mukherjea, Koustuv Dasgupta, Anupam Joshi
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 20:703-718
With the ever-growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Existing approaches for telecom business intelligence have almost solely f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66540d32dcd30f61c81fb25017e6b021
https://doi.org/10.1109/tkde.2007.190733
https://doi.org/10.1109/tkde.2007.190733
Publikováno v:
WWW
Micro-blogging services have become indispensable communication tools for online users for disseminating breaking news, eyewitness accounts, individual expression, and protest groups. Recently, Twitter, along with other online social networking servi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::440c875d3fd45c589bdd2268ff43147c
https://doi.org/10.1145/2187836.2187940
https://doi.org/10.1145/2187836.2187940
Publikováno v:
KDD
In recent years social media have become indispensable tools for information dissemination, operating in tandem with traditional media outlets such as newspapers, and it has become critical to understand the interaction between the new and old source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96361e82dc2fd4ca5679c61c1ef33a1
https://doi.org/10.1145/2020408.2020551
https://doi.org/10.1145/2020408.2020551
Autor:
Marco Pennacchiotti, Siva Gurumurthy
Publikováno v:
WWW (Companion Volume)
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users' interests using Latent Dirichlet Allocation (LDA), a linguistic topic model that represents users as mix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068deda9ce17ac9ed9cf475aa7803b40
https://doi.org/10.1145/1963192.1963244
https://doi.org/10.1145/1963192.1963244
Autor:
Siva Gurumurthy, Volodymyr Zhabiuk, Venu Satuluri, Jimmy Lin, Quannan Li, Ajeet Grewal, Pankaj Gupta
Publikováno v:
Proceedings of the VLDB Endowment. 7:1379-1380
We describe a production Twitter system for generating relevant, personalized, and timely recommendations based on observing the temporally-correlated actions of each user's followings. The system currently serves millions of recommendations daily to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc9070e20112f9ca291a4b7d5e2a02f
https://doi.org/10.14778/2733004.2733010
https://doi.org/10.14778/2733004.2733010
Publikováno v:
CIKM
Traditional web search engines find it challenging to achieve good search quality for recency-sensitive queries, as they are prone to delays in discovering, indexing and ranking new web pages. In this paper we introduce PreGen, an adaptive preview ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be188c6a60d14860417295e827a32b4a
https://doi.org/10.1145/1871437.1871584
https://doi.org/10.1145/1871437.1871584
Autor:
Aura Ganz, Siva Gurumurthy
Publikováno v:
CCNC
We propose a middleware called BuddyShare to automatically form an overlay group of nearby friends' mobile phones to collaboratively download data by sharing mobile internet. This system is hypothetical in nature and only work on certain assumptions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8622423487d71fe9010bf926a100ba8
https://doi.org/10.1109/ccnc.2009.4784864
https://doi.org/10.1109/ccnc.2009.4784864
Autor:
Dipanjan Chakraborty, Sougata Mukherjea, Koustuv Dasgupta, Gautam Das, Amit A. Nanavati, Siva Gurumurthy, Anupam Joshi
Publikováno v:
CIKM
Proceedings of the 15th ACM international conference on Information and knowledge management
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e61f35b46cc15ac2693e51b66d02c5b3
https://doi.org/10.1145/1183614.1183678
https://doi.org/10.1145/1183614.1183678