| 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 | 130 | 2019 |
| 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 | 103 | 2015 |
| Semantic analysis of web documents for the generation of optimal content T Mavridis, AL Symeonidis Engineering Applications of Artificial Intelligence 35, 114-130, 2014 | 35 | 2014 |
| Beyond algorithms: Ranking at scale at Booking. com. T Mavridis, S Hausl, A Mende, R Pagano ComplexRec-ImpactRS@ RecSys, 2020 | 17 | 2020 |
| Identifying Webpage Semantics for Search Engine Optimization. T Mavridis, AL Symeonidis WEBIST 2012, 272-275, 2012 | 5 | 2012 |
| 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 |
| Exploring the influence of semantic data on the ranking mechanisms of search engines T Mavridis | | |
Andreas L. SymeonidisProfessor, Dept. Electrical and Computer Engineering, Aristotle University of ThessalonikiVerified email at ece.auth.gr
