Publications & Presentations

Eirinaki, Magdalini

Publications & Presentations

 

External links: , ,

 

 

Journal Publications

Conferences & Workshops

Invited Papers

Book Chapters

Tutorials & Invited Talks

 

Journal Publications (peer – reviewed)

  • D. Tallapally, J. Wang, K. Potika, M. Eirinaki, “Using Graph Neural Networks for Social Recommendations”, Algorithms 2023, 16(11), 515 (DOI: )
  • M. Eirinaki, I. Varlamis, J. Dahihande, A. Jaiswal, A. A. Pagar, A.  Thakare, “Real-time recommendations for energy-efficient appliance usage in households”, Frontiers in Big Data,  Sec. Recommender Systems, Vol.5, September 2022, Frontiers (DOI: ) 
  • Y. Himeur, A. Sayed, A. Alsalemi, F. Bensaali, A. Amira, I. Varlamis, M. Eirinaki, C. Sardianos, G. Dimitrakopoulos, “Blockchain-based recommender systems: Applications, challenges, and future opportunities”, Computer Science Review, Vol. 43, February 2022, 100439, Elsevier (DOI: 10.1016/j.cosrev.2021.100439) 
  • M. Eirinaki, S. Dhar, S. Mathur, A. Kaley, A. Patel, A. Joshi, D. Shah, “A Building Permit System for Smart Cities: A Cloud-based Framework”, Computers, Environment and Urban Systems, Vol. 70, pp. 175-188, July 2018
  • S. Dharia, M. Eirinaki, V. Jain, J. Patel, I. Varlamis, J. Vora, R. Yamauchi, “Social Recommendations for Personalized Fitness Assistance”, Personal and Ubiquitous Computing, special issue on Wearable Systems for e-Health and Well-being, Vol. 22, No. 1, pp. 245-257, April 2018 (DOI: 10.1007/s00779-017-1039-8)
  • M. Eirinaki, J. Gao, I. Varlamis, K. Tserpes, “Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions”, editorial, Future Generation Computer Systems, Vol. 78, part 1, pp. 413-418, January 2018
  • N. Moniz, L. Torgo, M. Eirinaki, P. Branco, “A Framework for Recommendation of Highly Popular News Lacking Social Feedback”, New Generation Computing (DOI: 10.1007/s00354-017-0019-x)
  • M. Eirinaki, S. Abraham, N. Polyzotis, N. Shaikh, “QueRIE: Collaborative Database Exploration”, in IEEE Transactions on Data and Knowledge Engineering (TKDE), Vol. 26, No. 7, pp. 1778-1790, July 2014 (DOI: 10.1109/TKDE.2013.79) 
  • M. Eirinaki, M. Louta, I. Varlamis, “A Trust-Aware System for Personalized User Recommendations in Social Networks”, in IEEE Transactions on Systems, Man, and Cybernetics: Systems (Part A), Vol.PP, Issue 99, 2013 (DOI 10.1109/TSMC.2013.2263128)
  • M. Eirinaki, S. P. Singh Monga, S. Sundaram, “Identification of Influential Social Networkers”, in International Journal of Web Based Communities, Vol. 8, No. 2, pp. 136 – 158, 2012
  • M. Eirinaki, S. Pisal, J. Singh, “Feature-based Opinion Mining and Ranking”, in Journal of Computer and System Sciences, special issue on “Information Retrieval, Decision Making Process and User Needs in Ubiquitous and Collaborative Computing”, Vol. 78, Issue 4, pp. 1175 - 1184, July 2012
  • P. Giannikopoulos, I. Varlamis, M. Eirinaki, “Mining Frequent Generalized Patterns for Web Personalization in the presence of Taxonomies”, in International Journal of Data Warehousing and Mining, Vol. 6, No.1, pp. 58 - 76, 2010
  • M. Eirinaki and M. Vazirgiannis. “Web Site Personalization based on Link Analysis and Navigational Patterns”, in ACM Transactions on Internet Technology (TOIT), Vol.7, No.4, pp. 21:1 – 21:27, October 2007
  • M. Eirinaki and M. Vazirgiannis. “Web Mining for Web Personalization”, in ACM Transactions on Internet Technology (TOIT), Vol.3, No.1, pp. 1-27, February 2003

 

Conference & Workshop Publications (peer – reviewed)

  • J. Medel, M. Eirinaki, "Deep Learning in AI Medical Imaging for Stroke Diagnosis", poster presentation, 2023 Biomedical Engineering Society meeting (BMES 2023), October 2023, Seattle, WA
  • H. Yang, K. Wanaskar, H. Shrivastava, S. Mansahia, S. Richhariya, M. Eirinaki, “Prompt Recommendations for AI Art”, in Proc. of the Artificial Intelligence & Knowledge Engineering conference (AIKE 2023), September 2023, Laguna Hills, CA
  • P. S. Bhusari, S. N. Hunur, R. K. Tanti, S. R. Warathe, M. Eirinaki, “Distress Signal Recognition Using Pose Estimation and Neural Networks”, in Proc. of the 11th IEEE Intl. Conf. on Mobile Cloud Computing, Services, and Engineering (MobileCloud 2023), July 2023, Athens, Greece
  • R. Campbell, M. Eirinaki, Y. Park, “A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning”, (best paper award) in Proc. Of the 4th Silicon Valley Cybersecurity Conference (SVCC 2023), May 2023, Burlingame, CA 
  • A. Jagannathan, B. Chandrasekaran, S. Dutta, U. R. Patil, M. Eirinaki, “Original Music Generation using Recurrent Neural Networks with Self-Attention”, in Proc. of the 4th IEEE Intl. Conference on AI Testing (AITest 2022), August 2022, San Francisco Bay Area, CA, USA
  • J. Lu, M. Eirinaki, “Can a machine win a Grammy? An evaluation of AI-generated song lyrics”, in Proc. of the 2021 IEEE Int. Conf. on Big Data (IEEE BigData 2021), December 2021, Orlando, FL (online)
  • S.A. Aduwala, M. Arigala, S. Desai, H. J. Quan, M. Eirinaki, “Deepfake Detection using GAN Discriminators”, in Proc. of the 7th IEEE Intl. Conference on Big Data Services and Machine Learning Applications (BigDataService 2020), August 2021, virtual
  • Y. Brahmankar, Z. Pachodiwale, N. Parakh, D. J. Patel, M. Eirinaki, “Intelligent Eye: A Navigation Assistant for the Visually Impaired”, in Proc. of the 23rd Intl. Conference on Human-Computer Interaction (HCI International 2021), July 2021, Washington DC, USA (online)
  • A. Garg, N. Trivedi, J. Lu, M. Eirinaki, B. Yu, F. Olumofin, “An evaluation of machine learning methods for domain name classification”, in Proc. of 2020 IEEE Int. Conf. on Big Data (IEEE BigData 2020), December 2020 (online)
  • J. Dahihande, A. Jaiswal, A.A. Pagar, A.Thakare, M. Eirinaki, I. Varlamis, “Reducing energy waste in households through real-time recommendations”, (to appear) in Proc. of the 14th ACM Recommender Systems Conference (RecSys 2020), September 2020, Brazil (online)
  • T-M. Huang, H. Hsieh, J. Qin, H-F. Liu, M. Eirinaki, “Play it again IMuCo! Music composition to match your mood”, (to appear) in Proc. of the 2nd Conference on Transdisciplinary AI (TransAI 2020), September 2020, Irvien, CA (online)
  • A. Singh, N. Dharamshi, P. T. Govarthanarajan, P. D. Samale, M. Eirinaki, “The Tipping Point in Social Networks: Investigating the Mechanism behind Viral Information Spreading”, in Proc. of the 6nd IEEE Intl. Conference on Big Data Services and Machine Learning Applications (BigDataService 2020), August 2020, Oxford, UK (online)
  • D. Talwar, S. Guruswamy, N. Ravipati, M. Eirinaki, “Evaluating Validity of Synthetic data in Perception tasks for Autonomous Vehicles”, (to appear) in Proc. of the 2nd IEEE Intl. Conference on AI Testing (AITest 2020), April 2020, Oxford, UK
  • M. Daswani, K. Desai, M. Patel, R. Vani, M. Eirinaki, “CollegeBot: A Conversational AI Approach to Help Students Navigate College”, in Proc. of the 22nd Intl. Conference on Human-Computer Interaction (HCI International 2020), July 2020, Copenhagen, Denmark (online)
  • J. Lu, N. T. Saunshi, A. Mangune, M. Eirinaki, B. Yu, C. Liu, “A SERP-Mining Approach for DNS Requests”, in Proc. of 2019 IEEE Int. Conf. on Big Data (IEEE BigData 2019), special session on Intelligent Data Mining, December 2019, Los Angeles, CA, USA
  • A. Boriya, S. S. Malla, R. Manjunath, V. Velicheti, M. Eirinaki, “ViSeR: A Visual Search Engine for e-Retail”, in Proc. of Transdisciplinary AI 2019 (TransAI 2019), Laguna Hills, CA, September 2019
  • A. Mathur, S. K. Juguru, M. Eirinaki, “A graph-based recommender system for food products”, in Proc. of Graph Computing 2019 (GC 2019), Laguna Hills, CA, September 2019
  • N. Mantas, M. Louta, I. Varlamis, M. Eirinaki, “The effect of global and local influence models on the quality of recommendations”, in Proc. of the 2019 Intl. Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2019), July 2019, Berlin, Germany
  • I. Pradhan, K. Potika, M. Eirinaki, P. Potikas, “Exploratory Data Analysis and Crime Prediction for Smart Cities”, in Proc. of 23rd Intl. Database Engineering & Applications Symposium (IDEAS 2019), June 2019, Athens, Greece
  • A. Gulati, M. Eirinaki, "With a little help from my friends (and their friends): Influence Neighborhoods for Social Recommendations", in Proc. of The Web Conference 2019 (previously known as WWW), May 2019, San Francisco, CA, USA
  • A. Gulati, M. Eirinaki, "Influence propagation for Social Graph-based Recommendations", in Proc. of the IEEE Big Data 2018 conference, December 2018, Seattle, WA, USA
  • B. Patel, V. Kakuste, M. Eirinaki, “CaPaR: A Career Path Recommendation Framework”, in Proc. of the 3rd Intl. Conf. on Big Data Computing Service and Applications (IEEE BigDataService 2017), April 2017, San Francisco Bay, CA, USA
  • C. Sardianos, I. Varlamis, M. Eirinaki, “Scaling Collaborative Filtering to large-scale Bipartite Ratings Graphs using Lenskit and Spark”, in Proc. of the 3rd Intl. Conf. on Big Data Computing Service and Applications (IEEE BigDataService 2017), April 2017, San Francisco Bay, CA, USA
  • Balchandani, P. Makkar, P. Yelure, R. K. Hatwar, Y. Shah, M. Eirinaki, “A Deep Learning Framework for Smart Street Cleaning”, in Proc. of the 3rd Intl. Conf. on Big Data Computing Service and Applications (IEEE BigDataService 2017), April 2017, San Francisco Bay, CA, USA
  • N. Moniz, L. Torgo, M. Eirinaki, P. Branco, “Time-Based Ensembles for Prediction of Rare Events in News Streams”, in Proceedings of the 2nd Intl. Workshop on Data Science for Social Media and Risk (SOMERIS 2016), in conjuction with IEEE Intl. Conf. on Data Mining (ICDM 2016), December 2016, Barcelona, Spain
  • M. Eirinaki, N. Moniz, K. Potika, “Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks”, in Proceedings of the 9th IEEE Intl. Conf. on Social Computing and Networking (SOCIALCOM 2016), Atlanta, GA, USA, October 2016
  • M. Eirinaki, S. Dhar, S. Mathur, “A Cloud-based Framework for Smart Permit System for Buildings”, in Proceedings of the IEEE 2nd Intl. Smart Cities Conference (ISC2 2016), Trento, Italy, September 2016
  • S. Dharia, V. Jain, J. Patel, J. Vora, R. Yamauchi, M. Eirinaki, I. Varlamis, “PRO-Fit: Exercise with friends”, demo paper, in Proceedings of the 2016 IEEE/ACM Intl. Conf. on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, CA, USA, August 2016
  • S. Dharia, V. Jain, J. Patel, J. Vora, S. Chawla, M. Eirinaki, “PRO-Fit: A personalized fitness assistant framework”, in Proceedings of the 28th Intl. Conf. on Software Engineering and Knowledge Engineering (SEKE 2016), Redwood City, CA, USA, July 2016
  • M. Eirinaki, S. Patel, “QueRIE Reloaded: Using Matrix Factorization to Improve Database Query Recommendations”, in Proceedings of 2015 IEEE Intl. Conference on Big Data (IEEE BigData 2015), special session on Intelligent Mining, Santa Clara, CA, October 2015
  • P. Kouki, S. Fakhraei, J. Foulds, M. Eirinaki, L. Getoor, “HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems”, to appear in Proceedings of RecSys 2015, Vienna, Austria, October 2015
  • D. Proios, M. Eirinaki, I. Varlamis, “TipMe: Personalized advertising and aspect-based opinion mining for  users and businesses”, to appear in Proceedings of Someris: Social Media and Risk ASONAM 2015 Workshop (SOMERIS 2015), Paris, France, August 2015
  • V. Suresh, S. Roohi, M. Eirinaki, “Aspect-Based Opinion Mining and Recommendation System for Restaurant Reviews”, to appear in Proceedings of The ACM Conference Series on Recommender Systems (ACM RecSys 2014), October 2014, Foster City, CA
  • V. Suresh, S. Roohi, M. Eirinaki, I. Varlamis, “Using Social Data for Personalizing Review Rankings”, to appear in Proceedings of the 6th ACM RecSys Workshop on Recommender Systems & the Social Web (RSWeb 2014), October 2014, Foster City, CA
  • S. Tragopoulou, I. Varlamis, M. Eirinaki, “Classification of movement data concerning user’s activity recognition via mobile phones”, in Proceedings of the 4th Intl. Conf. on Web Intelligence, Mining and Semantics (WIMS 2014), June 2014, Thessaloniki, Greece
  • K. Jangid, P. Paul, M. Eirinaki, “A mobile application for stock market prediction using sentiment analysis”, in Proceedings of the 24th International Conference on Software Engineering and Data Engineering (SEKE 2012), July 2012, San Francisco, CA
  • S. Pisal, J. Singh, M. Eirinaki, “AskUs: an Opinion Search Engine”, demo paper, in Proceedings of the 2011 edition of the IEEE International Conference on Data Mining series (ICDM 2011), December 2011, Vancouver, Canada
  • A. Stavrianou, M. Eirinaki, “A Personalized Forum Environment”, in Proceedings of the 7th Intl. Conference on Web Information Systems and Technologies (WEBIST 2011), May 2011, The Netherlands
  • J. Akbarnejad, G. Chatzopoulou, M. Eirinaki, S. Koshy, S. Mittal, D. On, N. Polyzotis, J. S. Vindhiya Varman, “SQL QueRIE Recommendations”, demo paper, in Proceedings of the 2009 edition of the 36th Intl. Conference on Very Large Databases (VLDB 2010), September 2010, Singapore
  •  J. Akbarnejad, M. Eirinaki, S. Koshy, D. On, N. Polyzotis, “SQL QueRIE Recommendations: a query fragment-based approach”, in Proceedings of the 4th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB 2010, in conjuction with VLDB 2010), September 2010, Singapore
  • I. Varlamis, M. Eirinaki, M. Louta, “A study on social network metrics and their application in trust networks”, in Proc. of the 2010 International Conference on Analysis of Social Networks and Mining (ASONAM 2010), pp. 168 – 175, August 2010, Odense, Denmark
  • S. Mittal, J. S. Vindhiya Varman, M. Eirinaki, G. Chatzopoulou, N. Polyzotis, “QueRIE: A Recommender System supporting Interactive Database Exploration”, demo paper, in Proc. of the 2009 edition of the IEEE International Conference on Data Mining series (ICDM 2009), December 2009, Miami, Florida (to appear in Proc. of ICDM 2010 due to an editor’s error)
  • G. Chatzopoulou, M. Eirinaki, N. Polyzotis, â€œÎ ÏÎżÏ„ÎŹÏƒÎ”Îčς Î”ÏÏ‰Ï„Î·ÎŒÎŹÏ„Ï‰Îœ ÎłÎčα ÎŽÎčαΎραστÎčÎșÎź ΔΟΔρΔύΜηση ÎČÎŹÏƒÎ”Ï‰Îœ ÎŽÎ”ÎŽÎżÎŒÎ­ÎœÏ‰Îœâ€, in Proc. of the 8th Hellenic Symposium of Database Systems (HDMS 2009), September 2009, Athens, Greece
  • G. Chatzopoulou, M. Eirinaki, N. Polyzotis, “Collaborative Filtering for Interactive Database Exploration”, in Proc. of the 21st International Conference on Scientific and Statistical Databases (SSDBM 2009), pp. 3 – 18, June 2009, New Orleans, Louisiana
  • A. Patel, N. Sharma, M. Eirinaki, “Negative Database for Data Security”, in Proc. of the International Conference of Computing in Engineering, Science and Information (ICC 2009), April 2009, Fullerton, CA
  • G. Giannopoulos, T. Dalamagas, M. Eirinaki, T. Sellis, “Boosting the Ranking Function Learning Process using Clustering”, in Proc. of  the 10th ACM International Workshop on Web Information and Data Management (WIDM 2008), pp. 125- 132, October 2008, Napa Valley, CA
  • P. Giannikopoulos, I. Varlamis, M. Eirinaki, “Mining Frequent Generalized Patterns for Web Personalization”, in Proc. of the  ECAI 2008 Workshop on Mining Social Data (MSoDA 2008), pp.11-15, July 2008, Patras, Greece
  • T. Dalamagas, P. Bouros, T. Galanis, M. Eirinaki, T. Sellis, “Mining User Navigation Patterns for Personalizing Topic Directories”, in Proc. of  the 9th ACM International Workshop on Web Information and Data Management (WIDM 2007), pp. 81-88, November 2007, Lisboa, Portugal
  • M. Eirinaki, and M. Vazirgiannis. “UPR: Usage-based Page Rank for Web Personalization”, in Proc. of the 5th Hellenic Data Management Symposium (HDMS 2006), September 2006, Thessaloniki, Greece 
  • M. Eirinaki and M. Vazirgiannis. “Usage-based PageRank for Web Personalization”, in Proc. of 5th IEEE International Conference on Data Mining (ICDM 2005), pp. 130-137, November 2005, Houston, Texas
  • M. Eirinaki, M. Vazirgiannis, and D. Kapogiannis. “Web path recommendations based on Page Ranking and Markov Models”, in Proc. of the 7th ACM International Workshop on Web Information and Data Management (WIDM 2005), pp. 2-9, November 2005, Bremen, Germany
  • M. Eirinaki, D. Mavroeidis, G. Tsatsaronis, M. Vazirgiannis, “Introducing Semantics in Web Personalization: The Role of Ontologies”, in Proc. of Semantics, Web, and Mining, Joint International Workshops (EWMF/KDO 2005), pp. 147-162, October 2005, Porto, Portugal
  • M. Eirinaki, C. Lampos, S. Paulakis, and M. Vazirgiannis. “Web Personalization Integrating Content Semantics and Navigational Patterns”, in Proc. of the 6th ACM International Workshop on Web Information and Data Management (WIDM 2004), pp. 72-79, November 2004, Washington D.C., USA
  • S. Paulakis, C. Lampos, M. Eirinaki, and M. Vazirgiannis. “SEWeP: A Web Mining System supporting Semantic Personalization”, demo paper, in Proc. of the 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2004), pp. 552-554, September 2004, Pisa, Italy
  • C. Lampos, M. Eirinaki, D. Jevtuchova, and M. Vazirgiannis. “Archiving the Greek Web”, in Proc. of the 4th International Web Archiving Workshop (IWAW’04), September 2004, Bath, UK
  • M.Eirinaki, M. Vazirgiannis, and I. Varlamis. “SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process”, in Proc. of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2003), pp. 99-108, August 2003, Washington DC
  • J. Vlahakis, M. Eirinaki, and S.S. Anand. “IKUM: An Integrated Web Personalization Platform Based on Content Structures and Usage Behaviour”, in Proc. of the Workshop on Intelligent Techniques for Web Personalization (ITWP'03), August 2003, Acapuclo, Mexico
  • M. Eirinaki, H. Lampos, M. Vazirgiannis, and I. Varlamis. “SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process”, in Proc. of the 2nd Hellenic Data Management Symposium (HDMS 2003), September 2003, Athens, Greece

 

Invited Papers & Editorials 

  • M. Eirinaki, J. Gao, L. Khan, S. Mazumder, K. Potika, “Big Data and Smart Cities”, editorial, Big Data Research journal, Vol. 17, pp. 33-34, September 2019
  • J. Tsao, M. Eirinaki, "A Human-Centered Credit-Banking System for Convenient and Secure Carpooling among Members of an Association", in Proc. of 6th Intl. Conference on Human Factors and Ergonomics, July 2015, Las Vegas, NV
  • G. Chatzopoulou, M. Eirinaki, S. Koshy, S. Mittal, N. Polyzotis, J.S. Vindhiya Varman, “The QueRIE system for Personalized Query Recommendations”, in IEEE Data Engineering Bulletin, Vol. 34, No. 2, June 2011, pp. 56-61
  • M. Eirinaki, M. Vazirgiannis, “Web Mining”, book chapter (online) in “AI Research in Greece”, editor George Vouros, published by the Hellenic Artificial Intelligence Society (EETN)

 
Book Chapters (peer – reviewed)

  • Varlamis, M. Eirinaki, M. Louta, “Application of social network metrics to a trust-aware collaborative model for generating personalized user recommendations”, book chapter in “The Influence of Technology on Social Network Analysis and Mining”, eds. Tansel Ozyer et. al., Springer 2013, Lecture Notes in Social Networks (ISBN 978-3-7091-1345-5), pp. 49-74
  • M. Eirinaki, D. Mavroeidis, G. Tsatsaronis, and M. Vazirgiannis. “Introducing Semantics in Web Personalization: The role of Ontologies”, book chapter in “Semantics, Web, and Mining”, eds.  M. Ackermann, B. Berendt, M. Grobelnik, A. Hotho, D. Mladenic, G. Semeraro, M. Spiliopoulou, G. Stumme, V. Svatek, M. van Someren, LNCS 4289/2006,  pp. 147-162, Springer 2006
  • M. Eirinaki, Y. Vlachakis, and S.S.Anand. “IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior”, book chapter in “Intelligent Techniques in Web Personalization”, eds. B. Mobasher, S.S. Anand, LNCS 3169/2005, pp.272-288, Springer 2005

 

 Selected Tutorials & Invited Talks

  • "AI for Health Equity", presentation, Bridging the Gap: Engineering and Health Sciences for Equity, 91ÁÔÆæ, San Jose CA, March 2024
  • “Recommender Systems: the good, the bad, and the ugly”, presentation, RSCA in 5’, 91ÁÔÆæ, San Jose CA, October 2023
  •  â€œRecommender Systems: Methods, Challenges, and Opportunities”, Keynote, 5th Summit on Gender Equality in Computing (GEC’23), Athens, Greece, July 2023 
  • “Recommendations in the age of social networking”, presentation, State of AI and ML (ValleyML), Santa Clara CA, January 2020
  • “With a little help from my friends (and their friends): Influence neighborhoods for social recommendations”, 17th Hellenic Data Management Symposium (HDMS 2019), Athens, Greece, July 2019
  • “Harnessing unstructured data to improve everyday life”, guest lecture, Graduate School of Natural Science and Technology, Okayama University, Japan, September 2017
  • “Machine Learning and Big Data for Smart Cities: Issues, Solutions, and Challenges in San Jose, CA”, panel presentation, Okayama Information & Communication Symposium on Big Data and Cybersecurity to Create Advanced ICT Society, Okayama, Japan, September 2017
  • “Social Recommendations for Personalized Fitness Assistance”, presentation, Okayama Information & Communication Symposium on Big Data and Cybersecurity to Create Advanced ICT Society, Okayama, Japan, September 2017
  • “Using Social Data for Personalizing Review Rankings”, Service Innovation Discovery Summit: Data Science Meets Customer Experience, June 2015, Santa Clara, CA
  • “Personal vs. Social”, Panel presentation, 4th International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases (PersDB 2010), September 2010, Singapore
  • “Data Mining for Business Intelligence”, Emerging Technologies in Software Engineering seminar, 91ÁÔÆæ MBA/MS in Software Engineering Program, May 2008
  • “New Approaches to Web Personalization”, Information Retrieval and Knowledge Management seminar, Technology and Information Management (TIM) department, University of California Santa Cruz, January 2006
  • “Ontologies in Web Personalization”, invited talk (co-presented with M. Vazirgiannis), 2nd International Workshop on Knowledge Discovery and Ontologies (KDO-2005), October 2005, Porto, Portugal
  • “Web Mining for Web Personalization”, Tutorial (co-presented with M. Vazirgiannis), in the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2005), October 2005, Porto, Portugal