Extending Content-Boosted Collaborative Filtering for Context-aware, Mobile Event Recommendations

Daniel Herzog, Wolfgang Wörndl

2016

Abstract

Recommender systems support users in filtering large amounts of data to find interesting items like restaurants, movies or events. Recommending events poses a bigger challenge than recommending items of many other domains. Events are often unique and have an expiration date. Ratings are usually not available before the event date and not relevant after the event has taken place. Content-boosted Collaborative Filtering (CBCF) is a hybrid recommendation technique which promises better recommendations than a pure content-based or collaborative filtering approach. In this paper, CBCF is adapted to event recommendations and extended by context-aware recommendations. For evaluation purposes, this algorithm is implemented in a real working Android application we developed. The results of a two-week field study show that the algorithm delivers promising results. The recommendations are sufficiently diversified and users are happy about the fact that the system is context-aware. However, the study exposed that further event attributes should be considered as context factors in order to increase the quality of the recommendations.

Paper Citation

in Harvard Style

Herzog D. and Wörndl W. (2016). Extending Content-Boosted Collaborative Filtering for Context-aware, Mobile Event Recommendations . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-186-1, pages 293-303. DOI: 10.5220/0005763702930303

in Bibtex Style

@conference{webist16,
author={Daniel Herzog and Wolfgang Wörndl},
title={Extending Content-Boosted Collaborative Filtering for Context-aware, Mobile Event Recommendations},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2016},
pages={293-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005763702930303},
isbn={978-989-758-186-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - Extending Content-Boosted Collaborative Filtering for Context-aware, Mobile Event Recommendations
SN - 978-989-758-186-1
AU - Herzog D.
AU - Wörndl W.
PY - 2016
SP - 293
EP - 303
DO - 10.5220/0005763702930303