Publication
Title
Streamingrec : a framework for benchmarking stream-based news recommenders
Author
Abstract
News is one of the earliest application domains of recommender systems, and recommending items from a virtually endless stream of news is still a relevant problem today. News recommendation is different from other application domains in a variety of ways, e.g., because new items constantly become available for recommendation. To be effective, news recommenders therefore have to continuously consider the latest items in the incoming stream of news in their recommendation models. However, today's public software libraries for algorithm benchmarking mostly do not consider these particularities of the domain. As a result, authors often rely on proprietary protocols, which hampers the comparability of the obtained results. In this paper, we present StreamingRec as a framework for evaluating streaming-based news recommenders in a replicable way. The open-source framework implements a replay-based evaluation protocol that allows algorithms to update the underlying models in real-time when new events are recorded and new articles are available for recommendation. Furthermore, a variety of baseline algorithms for session-based recommendation are part of StreamingRec. For these, we also report a number of performance results for two datasets, which confirm the importance of immediate model updates.
Language
English
Source (book)
RecSys '18 Proceedings of the 12th ACM Conference on Recommender Systems, October 02 - 02, 2018, Vancouver, British Columbia, Canada
Publication
New york : Assoc computing machinery , 2018
ISBN
978-1-4503-5901-6
978-1-4503-5901-6
Volume/pages
(2018) , p. 269-273
ISI
000458675100037
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Foundations of Recommender Systems.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 12.12.2018
Last edited 04.09.2021
To cite this reference