PolyRecs: Improving Page–View Rates Using Real-Time Data Analysis

Mihalis Papakonstantinou, Alex Delis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationReal-Time Business Intelligence and Analytics - International Workshops, BIRTE 2015, BIRTE 2016, BIRTE 2017, Revised Selected Papers
EditorsMalu Castellanos, Panos K. Chrysanthis, Konstantinos Pelechrinis
PublisherSpringer
Pages95-112
Number of pages18
ISBN (Print)9783030241230
DOIs
StatePublished - 2019
Event9th 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 - Munich, Germany
Duration: Aug 28 2017Sep 1 2017

Publication series

NameLecture Notes in Business Information Processing
Volume337
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference9th 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
CountryGermany
CityMunich
Period8/28/179/1/17

Keywords

  • Content-based furnishing of news
  • Hybrid recommendation systems
  • Real-time content analysis
  • Timely delivery of news articles

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

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