Travelled to:1 × Austria
1 × China
2 × USA
Collaborated with:B.Faltings A.Maksai F.Galle C.Dimitrakakis R.Jurca N.Joswig Julian Runge P.Gao O.Donatsch A.Alazzawi C.Bruttin A.Huber
Talks about:news (5) recommend (4) system (4) person (3) predict (2) onlin (2) evalu (2) swissinfo (1) framework (1) collabor (1)
Person: Florent Garcin
DBLP: Garcin:Florent
Contributed to:
2015201420132009
2014Wrote 7 papers:
- RecSys-2015-MaksaiGF #evaluation #metric #online #performance #predict #recommendation
- Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics (AM, FG, BF), pp. 179–186.
- RecSys-2014-GarcinFDABH #evaluation #online #recommendation
- Offline and online evaluation of news recommender systems at swissinfo.ch (FG, BF, OD, AA, CB, AH), pp. 169–176.
- RecSys-2014-GarcinGF #mobile #named #personalisation
- Focal: a personalized mobile news reader (FG, FG, BF), pp. 369–370.
- RecSys-2013-GarcinDF #personalisation #recommendation
- Personalized news recommendation with context trees (FG, CD, BF), pp. 105–112.
- RecSys-2013-GarcinF #framework #personalisation #recommendation
- PEN RecSys: a personalized news recommender systems framework (FG, BF), pp. 469–470.
- RecSys-2009-GarcinFJJ #collaboration #rating
- Rating aggregation in collaborative filtering systems (FG, BF, RJ, NJ), pp. 349–352.
- CIG-2014-RungeGGF #game studies #predict #social
- Churn prediction for high-value players in casual social games (JR, PG, FG, BF), pp. 1–8.