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Themistoklis Mavridis
Themistoklis Mavridis
Principal Machine Learning Scientist, Booking.com
Verified email at booking.com - Homepage
Title
Cited by
Cited by
Year
Identifying valid search engine ranking factors in a Web 2.0 and Web 3.0 context for building efficient SEO mechanisms
T Mavridis, AL Symeonidis
Engineering Applications of Artificial Intelligence 41, 75-91, 2015
742015
150 successful machine learning models: 6 lessons learned at booking. com
L Bernardi, T Mavridis, P Estevez
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
552019
Semantic analysis of web documents for the generation of optimal content
T Mavridis, AL Symeonidis
Engineering Applications of Artificial Intelligence 35, 114-130, 2014
182014
Beyond algorithms: Ranking at scale at Booking. com.
T Mavridis, S Hausl, A Mende, R Pagano
ComplexRec-ImpactRS@ RecSys, 2020
92020
Identifying Webpage Semantics for Search Engine Optimization.
T Mavridis, AL Symeonidis
WEBIST 2012, 272-275, 2012
52012
Named Entity Classification
T Mavridis
https://booking.ai/named-entity-classification-d14d857cb0d5, 2016
1*2016
Learning to Match
T Mavridis, P Estevez, L Bernardi
arXiv preprint arXiv:1802.03102, 2018
2018
IDENTIFYING WEBPAGE SEMANTICS FOR SEARCH ENGINE OPTIMIZATION
AL Symeonidis, T Mavridis
International Conference on Web Information Systems and Technologies 2, 272-275, 2012
2012
Exploring the influence of semantic data on the ranking mechanisms of search engines
T Mavridis
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Articles 1–9