TY - GEN
T1 - PolyRecs
T2 - 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016 and 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017 held in conjunction with the International Conference on Very Large Data Bases, VLDB 2017
AU - Papakonstantinou, Mihalis
AU - Delis, Alex
N1 - Funding Information:
Acknowledgements. we are grateful for the reviewer comments received; partial support for this work has been provided by the GALENA EU Project and Google.
PY - 2019
Y1 - 2019
N2 - In this paper, we outline our effort to enhance the page-view rates of e-content that online customers read on a popular portal in Greece. The portal, athensvoice.gr, provides continuous coverage on news, politics, science, the arts, and opinion columns and its customers generate approximately 6 million unique visits per month. Gains both in terms of advertisement and further e-content market penetration were the objectives of our effort which yielded the PolyRecs system, in production for more than a year now. In designing PolyRecs, we were primarily concerned with the use of pages in real-time and to this end, we elected to utilize five key criteria to achieve the aforementioned goals. We selected criteria for which we were able to obtain pertinent statistics without compromising performance and offered a real-time exploitation of the user page-views on the go. In addition, we were keen in realizing not only effective on-the-fly calculations of what might be interesting to the browsing individuals at specific points in time but also produce accurate results capable of improving the user-experience. The key factors exploited by PolyRecs entail features from both collaboration and content-based systems. Once operational, PolyRecs helped the news portal attain an average increase of 6.3% of the overall page-views in its traffic. To ascertain the PolyRecs utility, we provide a brief economic analysis in terms of measured performance indicators and identify the degree of contribution each of the key factors offers. Last but not least, we have developed PolyRecs as a domain-agnostic hybrid-recommendation system for we wanted it to successfully function regardless of the underlying data and/or content infrastructure.
AB - In this paper, we outline our effort to enhance the page-view rates of e-content that online customers read on a popular portal in Greece. The portal, athensvoice.gr, provides continuous coverage on news, politics, science, the arts, and opinion columns and its customers generate approximately 6 million unique visits per month. Gains both in terms of advertisement and further e-content market penetration were the objectives of our effort which yielded the PolyRecs system, in production for more than a year now. In designing PolyRecs, we were primarily concerned with the use of pages in real-time and to this end, we elected to utilize five key criteria to achieve the aforementioned goals. We selected criteria for which we were able to obtain pertinent statistics without compromising performance and offered a real-time exploitation of the user page-views on the go. In addition, we were keen in realizing not only effective on-the-fly calculations of what might be interesting to the browsing individuals at specific points in time but also produce accurate results capable of improving the user-experience. The key factors exploited by PolyRecs entail features from both collaboration and content-based systems. Once operational, PolyRecs helped the news portal attain an average increase of 6.3% of the overall page-views in its traffic. To ascertain the PolyRecs utility, we provide a brief economic analysis in terms of measured performance indicators and identify the degree of contribution each of the key factors offers. Last but not least, we have developed PolyRecs as a domain-agnostic hybrid-recommendation system for we wanted it to successfully function regardless of the underlying data and/or content infrastructure.
KW - Content-based furnishing of news
KW - Hybrid recommendation systems
KW - Real-time content analysis
KW - Timely delivery of news articles
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U2 - 10.1007/978-3-030-24124-7_7
DO - 10.1007/978-3-030-24124-7_7
M3 - Conference contribution
AN - SCOPUS:85075680224
SN - 9783030241230
T3 - Lecture Notes in Business Information Processing
SP - 95
EP - 112
BT - Real-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers
A2 - Castellanos, Malu
A2 - Chrysanthis, Panos K.
A2 - Pelechrinis, Konstantinos
PB - Springer
Y2 - 28 August 2017 through 1 September 2017
ER -