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pro vyhledávání: '"Hennig, Patrick"'
We demonstrate that effortlessly accessible digital records of behavior such as Facebook Likes can be obtained and utilized to automatically distinguish a wide range of highly delicate personal traits including: life satisfaction, cultural ethnicity,
Externí odkaz:
http://arxiv.org/abs/1812.04346
Publikováno v:
In Renewable Energy December 2020 161:1318-1327
Tabu Search Exploiting Local Optimality in Binary Optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::89d93a963c21d02059c3a7b016411675
https://hal.archives-ouvertes.fr/hal-03595423
https://hal.archives-ouvertes.fr/hal-03595423
Autor:
Bin Tareaf, Raad (Dr.), Berger, Philipp, Hennig, Patrick, Meinel, Christoph (Prof. Dr. sc. nat. Dr. rer. nat.)
Social networking sites (SNS) are a rich source of latent information about individual characteristics. Crawling and analyzing this content provides a new approach for enterprises to personalize services and put forward product recommendations. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______266::40744362ae094a0052ab61e3b02d4d3e
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/56224
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/56224
Publikováno v:
HPCC/SmartCity/DSS
The Massive adoption of social media has provided new ways for individuals to express their opinion and emotion online. In 2016, Facebook introduced a new reactions feature that allows users to express their psychological emotions regarding published
Publikováno v:
Web Intelligence (2405-6456); 2020, Vol. 18 Issue 1, p35-51, 17p, 7 Diagrams, 11 Charts, 11 Graphs
Publikováno v:
PLoS ONE. 2008, Vol. 3 Issue 8, p1-14. 14p. 7 Diagrams, 5 Graphs.
Publikováno v:
ACM International Conference Proceeding Series; 9/17/2017, p79-88, 10p