default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMagdalini Eirinaki
Person information
- affiliation: San José State University, Department of Computer Engineering, CA, USA
- affiliation (PhD 2006): Athens University Economics and Business, Greece
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2006
[b1]Magdalini Eirinaki:
Καινοτομικές προσεγγίσεις για εξατομίκευση στον παγκόσμιο ιστό. Athens University Economics and Business, Greece, 2006
Journal Articles
- 2024
- [j19]Derek Lilienthal
, Paul Mello, Magdalini Eirinaki, Stas Tiomkin:
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. IEEE Access 12: 58275-58287 (2024) - [j18]Robert G. Campbell, Magdalini Eirinaki, Younghee Park:
Scalable and Autonomous Network Defense Using Reinforcement Learning. IEEE Access 12: 92919-92930 (2024) - 2023
- [j17]Dharahas Tallapally, John Wang, Katerina Potika, Magdalini Eirinaki:
Using Graph Neural Networks for Social Recommendations. Algorithms 16(11): 515 (2023) - 2022
- [j16]Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based recommender systems: Applications, challenges and future opportunities. Comput. Sci. Rev. 43: 100439 (2022) - [j15]Magdalini Eirinaki, Iraklis Varlamis, Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare:
Real-time recommendations for energy-efficient appliance usage in households. Frontiers Big Data 5 (2022) - 2019
- [j14]Magdalini Eirinaki, Jerry Gao, Latifur Khan, Sourav Mazumder, Katerina Potika:
Editorial for Special Issue on "Big Data and Smart Cities". Big Data Res. 17: 33-34 (2019) - 2018
- [j13]Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes:
Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions. Future Gener. Comput. Syst. 78: 413-418 (2018) - [j12]Saumil Dharia, Magdalini Eirinaki, Vijesh Jain, Jvalant Patel, Iraklis Varlamis, Jainikkumar Vora, Rizen Yamauchi:
Social recommendations for personalized fitness assistance. Pers. Ubiquitous Comput. 22(2): 245-257 (2018) - [j11]Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur, Adwait Kaley, Arpit Patel, Akshar Joshi, Dhvani Shah:
A building permit system for smart cities: A cloud-based framework. Comput. Environ. Urban Syst. 70: 175-188 (2018) - 2017
- [j10]Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco:
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35(4): 417-450 (2017) - 2014
- [j9]Magdalini Eirinaki, Suju Abraham, Neoklis Polyzotis, Naushin Shaikh:
QueRIE: Collaborative Database Exploration. IEEE Trans. Knowl. Data Eng. 26(7): 1778-1790 (2014) - [j8]Magdalini Eirinaki, Malamati D. Louta, Iraklis Varlamis:
A Trust-Aware System for Personalized User Recommendations in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 44(4): 409-421 (2014) - 2012
- [j7]Magdalini Eirinaki, Sumit Pal Singh Monga, Shreedhar Sundaram:
Identification of influential social networkers. Int. J. Web Based Communities 8(2): 136-158 (2012) - [j6]Magdalini Eirinaki, Shamita Pisal, Japinder Singh:
Feature-based opinion mining and ranking. J. Comput. Syst. Sci. 78(4): 1175-1184 (2012) - 2011
- [j5]Gloria Chatzopoulou, Magdalini Eirinaki, Suju Koshy, Sarika Mittal, Neoklis Polyzotis, Jothi Swarubini Vindhiya Varman:
The QueRIE system for Personalized Query Recommendations. IEEE Data Eng. Bull. 34(2): 55-60 (2011) - 2010
- [j4]Panagiotis Giannikopoulos, Iraklis Varlamis, Magdalini Eirinaki:
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies. Int. J. Data Warehous. Min. 6(1): 58-76 (2010) - [j3]Javad Akbarnejad, Gloria Chatzopoulou, Magdalini Eirinaki, Suju Koshy, Sarika Mittal, Duc On, Neoklis Polyzotis, Jothi Swarubini Vindhiya Varman:
SQL QueRIE Recommendations. Proc. VLDB Endow. 3(2): 1597-1600 (2010) - 2007
- [j2]Magdalini Eirinaki, Michalis Vazirgiannis:
Web site personalization based on link analysis and navigational patterns. ACM Trans. Internet Techn. 7(4): 21 (2007) - 2003
- [j1]Magdalini Eirinaki, Michalis Vazirgiannis:
Web mining for web personalization. ACM Trans. Internet Techn. 3(1): 1-27 (2003)
Conference and Workshop Papers
- 2023
- [c48]Hyelim Yang, Kapil Wanaskar, Harshika Shrivastava, Shahbaz Mansahia, Shakshi Richhariya, Magdalini Eirinaki:
Prompt Recommendations for AI Art. AIKE 2023: 62-65 - [c47]Palash Shankar Bhusari, Shreya Nagaraddy Hunur, Ravi Kumar Tanti, Saurabh Ramesh Warathe, Magdalini Eirinaki:
Distress Signal Recognition Using Pose Estimation and Neural Networks. MobileCloud 2023: 25-32 - [c46]Robert G. Campbell, Magdalini Eirinaki, Younghee Park:
A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning. SVCC 2023: 1-8 - 2022
- [c45]Akash Jagannathan, Bharathi Chandrasekaran, Shubham Dutta, Uma Rameshgouda Patil, Magdalini Eirinaki:
Original Music Generation using Recurrent Neural Networks with Self-Attention. AITest 2022: 56-63 - 2021
- [c44]Junlan Lu, Magdalini Eirinaki:
Can a machine win a Grammy? An evaluation of AI-generated song lyrics. IEEE BigData 2021: 4896-4905 - [c43]Sai Ashrith Aduwala, Manish Arigala, Shivan Desai, Heng Jerry Quan, Magdalini Eirinaki:
Deepfake Detection using GAN Discriminators. BigDataService 2021: 69-77 - [c42]Zeeshan Ahmed Pachodiwale, Yugeshwari Brahmankar, Neha Parakh, Dhruvil Patel, Magdalini Eirinaki:
Viva: A Virtual Assistant for the Visually Impaired. HCI (7) 2021: 444-460 - 2020
- [c41]Deepak Talwar, Sachin Guruswamy, Naveen Ravipati, Magdalini Eirinaki:
Evaluating Validity of Synthetic Data in Perception Tasks for Autonomous Vehicles. AITest 2020: 73-80 - [c40]Amit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, Femi G. Olumofin:
An evaluation of machine learning methods for domain name classification. IEEE BigData 2020: 4577-4585 - [c39]Abhishek Singh, Niraj Dharamshi, Preethi Thimma Govarthanarajan, Premal Dattatray Samale, Magdalini Eirinaki:
The Tipping Point In Social Networks: Investigating the Mechanism Behind Viral Information Spreading. BigDataService 2020: 54-61 - [c38]Mohinish Daswani, Kavina Desai, Mili Patel, Reeya Vani, Magdalini Eirinaki:
CollegeBot: A Conversational AI Approach to Help Students Navigate College. HCI (42) 2020: 44-63 - [c37]Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare, Magdalini Eirinaki, Iraklis Varlamis:
Reducing energy waste in households through real-time recommendations. RecSys 2020: 545-550 - 2019
- [c36]Junlan Lu, Nikhil Takappa Saunshi, Aldrich Mangune, Magdalini Eirinaki, Bin Yu, Cricket Liu:
A SERP-Mining Approach for Classification of DNS Requests. IEEE BigData 2019: 2364-2372 - [c35]Arpit Mathur, Sai Kumar Juguru, Magdalini Eirinaki:
A Graph-Based Recommender System for Food Products. GC 2019: 83-87 - [c34]Isha Pradhan, Katerina Potika, Magdalini Eirinaki, Petros Potikas:
Exploratory data analysis and crime prediction for smart cities. IDEAS 2019: 4:1-4:9 - [c33]Nikolaos Mantas, Malamati D. Louta, Magdalini Eirinaki, Iraklis Varlamis, George T. Karetsos:
The effect of global and local influence models on the quality of recommendations. SummerSim 2019: 61:1-61:8 - [c32]Nikolaos Mantas, Malamati D. Louta, Magdalini Eirinaki, Iraklis Varlamis, George T. Karetsos:
The effect of global and local influence models on the quality of recommendations. SPECTS 2019: 1-8 - [c31]Avni Gulati, Magdalini Eirinaki:
With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations. WWW 2019: 2778-2784 - 2018
- [c30]Avni Gulati, Magdalini Eirinaki:
Influence Propagation for Social Graph-based Recommendations. IEEE BigData 2018: 2180-2189 - 2017
- [c29]Bharat Patel, Varun Kakuste, Magdalini Eirinaki:
CaPaR: A Career Path Recommendation Framework. BigDataService 2017: 23-30 - [c28]Christos Sardianos, Iraklis Varlamis, Magdalini Eirinaki:
Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark. BigDataService 2017: 70-79 - [c27]Chandni Balchandani, Rakshith Koravadi Hatwar, Parteek Makkar, Yanki Shah, Pooja Yelure, Magdalini Eirinaki:
A Deep Learning Framework for Smart Street Cleaning. BigDataService 2017: 112-117 - 2016
- [c26]Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, Iraklis Varlamis:
PRO-Fit: Exercise with friends. ASONAM 2016: 1430-1433 - [c25]Magdalini Eirinaki, Nuno Moniz, Katerina Potika:
Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks. BDCloud-SocialCom-SustainCom 2016: 408-415 - [c24]Nuno Moniz, Luís Torgo, Magdalini Eirinaki:
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops 2016: 1066-1073 - [c23]Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur:
A cloud-based framework for smart permit system for buildings. ISC2 2016: 1-4 - [c22]Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Shaurya Chawla, Magdalini Eirinaki:
PRO-Fit: A personalized fitness assistant framework. SEKE 2016: 386-389 - 2015
- [c21]Dimitris Proios, Magdalini Eirinaki, Iraklis Varlamis:
TipMe: Personalized advertising and aspect-based opinion mining for users and businesses. ASONAM 2015: 1489-1494 - [c20]Magdalini Eirinaki, Sweta Patel:
QueRIE reloaded: Using matrix factorization to improve database query recommendations. IEEE BigData 2015: 1500-1508 - [c19]Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor:
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. RecSys 2015: 99-106 - 2014
- [c18]Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki:
Aspect-based opinion mining and recommendationsystem for restaurant reviews. RecSys 2014: 361-362 - [c17]Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki, Iraklis Varlamis:
Using Social Data for Personalizing Review Rankings. RSWeb@RecSys 2014 - [c16]Spiridoula Tragopoulou, Iraklis Varlamis, Magdalini Eirinaki:
Classification of movement data concerning user's activity recognition via mobile phones. WIMS 2014: 42:1-42:6 - 2012
- [c15]Kushal Jangid, Pratik Paul, Magdalini Eirinaki:
A Mobile Application for Stock Market Prediction Using Sentiment Analysis. SEKE 2012: 13-18 - 2011
- [c14]Shamita Pisal, Japinder Singh, Magdalini Eirinaki:
AskUs: An Opinion Search Engine. ICDM Workshops 2011: 1243-1246 - [c13]Anna Stavrianou, Magdalini Eirinaki:
A Personalized Forum Environment. WEBIST 2011: 360-365 - 2010
- [c12]Iraklis Varlamis, Magdalini Eirinaki, Malamati D. Louta:
A Study on Social Network Metrics and Their Application in Trust Networks. ASONAM 2010: 168-175 - [c11]Sarika Mittal, Jothi Swarubini Vindhiya Varman, Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis:
QueRIE: A Query Recommender System Supporting Interactive Database Exploration. ICDM Workshops 2010: 1411-1414 - 2009
- [c10]Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis:
Query Recommendations for Interactive Database Exploration. SSDBM 2009: 3-18 - 2008
- [c9]Giorgos Giannopoulos, Theodore Dalamagas, Magdalini Eirinaki, Timos K. Sellis:
Boosting the ranking function learning process using clustering. WIDM 2008: 125-132 - 2007
- [c8]Theodore Dalamagas, Panagiotis Bouros, Theodore Galanis, Magdalini Eirinaki, Timos K. Sellis:
Mining user navigation patterns for personalizing topic directories. WIDM 2007: 81-88 - 2005
- [c7]Magdalini Eirinaki, Dimitrios Mavroeidis, George Tsatsaronis, Michalis Vazirgiannis:
Introducing Semantics in Web Personalization: The Role of Ontologies. EWMF/KDO 2005: 147-162 - [c6]Magdalini Eirinaki, Michalis Vazirgiannis:
Usage-Based PageRank for Web Personalization. ICDM 2005: 130-137 - [c5]Magdalini Eirinaki, Michalis Vazirgiannis, Dimitris Kapogiannis:
Web path recommendations based on page ranking and Markov models. WIDM 2005: 2-9 - 2004
- [c4]Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis:
SEWeP: A Web Mining System Supporting Semantic Personalization. PKDD 2004: 552-554 - [c3]Magdalini Eirinaki, Charalampos Lampos, Stratos Paulakis, Michalis Vazirgiannis:
Web personalization integrating content semantics and navigational patterns. WIDM 2004: 72-79 - 2003
- [c2]Magdalini Eirinaki, Joannis Vlachakis, Sarabjot S. Anand:
IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior. ITWP 2003: 272-288 - [c1]Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis:
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process. KDD 2003: 99-108
Parts in Books or Collections
- 2013
- [p1]Iraklis Varlamis, Magdalini Eirinaki, Malamati D. Louta:
Application of Social Network Metrics to a Trust-Aware Collaborative Model for Generating Personalized User Recommendations. The Influence of Technology on Social Network Analysis and Mining 2013: 49-74
Editorship
- 2023
- [e1]Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis:
Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022., Padua, Italy, July 18-23, 2022. CEUR Workshop Proceedings 3350, CEUR-WS.org 2023 [contents]
Informal and Other Publications
- 2023
- [i3]Derek Lilienthal, Paul Mello, Magdalini Eirinaki, Stas Tiomkin:
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. CoRR abs/2311.03488 (2023) - 2021
- [i2]Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities. CoRR abs/2111.11509 (2021) - 2011
- [i1]Anup Patel, Niveeta Sharma, Magdalini Eirinaki:
Negative Database for Data Security. CoRR abs/1105.0049 (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
