Travelled to:1 × China
1 × Ireland
1 × USA
Collaborated with:N.Ziviani A.Veloso M.T.Ribeiro M.Cristo M.A.Gonçalves W.Fan B.A.Ribeiro-Neto
Talks about:recommend (2) exploratori (1) interact (1) advertis (1) system (1) pareto (1) object (1) hybrid (1) effici (1) multi (1)
Person: Anísio Lacerda
DBLP: Lacerda:An=iacute=sio
Contributed to:
20132012
2006Wrote 3 papers:
- RecSys-2013-LacerdaVZ #interactive #recommendation
- Exploratory and interactive daily deals recommendation (AL, AV, NZ), pp. 439–442.
- RecSys-2012-RibeiroLVZ #multi #recommendation
- Pareto-efficient hybridization for multi-objective recommender systems (MTR, AL, AV, NZ), pp. 19–26.
- SIGIR-2006-LacerdaCGFZR #learning
- Learning to advertise (AL, MC, MAG, WF, NZ, BARN), pp. 549–556.