( en | de | ru )

 

Disambiguation of "Adamopoulos, Panagiotis"

Author of the publication

copydeleteadd this publication to your clipboard
Personality-Based Recommendations: Evidence from Amazon.com.

, and . RecSys Posters, volume 1441 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Konstantin Adamopoulos

Wassilios Adamopoulos

Themistoklis Adamopoulos

Panagiotis Zacharopoulos

Panagiotis Mitsakis

 

Other publications of authors with the same name

Beyond rating prediction accuracy: on new perspectives in recommender systems.. RecSys, page 459-462. ACM, (2013)Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems., and . RecSys, page 351-354. ACM, (2013)The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events., and . KDD, page 1641-1650. ACM, (2015)The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis., and . ICIS, Association for Information Systems, (2015)On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected., and . DiveRS@RecSys, volume 816 of CEUR Workshop Proceedings, page 11-18. CEUR-WS.org, (2011)Personality-Based Recommendations: Evidence from Amazon.com., and . RecSys Posters, volume 1441 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Vocational Education and Training Apprenticeship: Using Teaching and Learning Analytics in a Learning Management System for improved Collaboration, Individual Empowerment and Development of Apprentices., , , and . EDUCON, page 1775-1782. IEEE, (2020)Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments., , and . CoRR, (2021)On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems., and . RecSys, page 153-160. ACM, (2014)On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems.. WSDM, page 655-660. ACM, (2014)