Travelled to:1 × Austria
1 × China
1 × Ireland
1 × Russia
1 × Switzerland
2 × USA
Collaborated with:B.Mobasher R.D.Burke J.Cleland-Huang M.H.Aghdam C.McMillan D.Poshyvanyk J.Davril E.Delfosse M.Acher P.Heymans H.Dumitru M.Gibiec C.Castro-Herrera M.Mirakhorli
Talks about:recommend (6) context (3) descript (2) product (2) featur (2) model (2) adapt (2) awar (2) use (2) latenttop (1)
Person: Negar Hariri
DBLP: Hariri:Negar
Contributed to:
20152014
20132013
201220122011Wrote 7 papers:
- RecSys-2015-AghdamHMB #adaptation #markov #modelling #recommendation #using
- Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models (MHA, NH, BM, RDB), pp. 241–244.
- RecSys-2014-HaririMB #adaptation #interactive #recommendation
- Context adaptation in interactive recommender systems (NH, BM, RDB), pp. 41–48.
- ESEC-FSE-2013-DavrilDHACH #feature model #scalability
- Feature model extraction from large collections of informal product descriptions (JMD, ED, NH, MA, JCH, PH), pp. 290–300.
- RecSys-2013-HaririMB #recommendation
- Query-driven context aware recommendation (NH, BM, RDB), pp. 9–16.
- ICSE-2012-McMillanHPCM #agile #prototype #recommendation #source code
- Recommending source code for use in rapid software prototypes (CM, NH, DP, JCH, BM), pp. 848–858.
- RecSys-2012-HaririMB #music #recommendation #topic
- Context-aware music recommendation based on latenttopic sequential patterns (NH, BM, RDB), pp. 131–138.
- ICSE-2011-DumitruGHCMCM #mining #on-demand #recommendation
- On-demand feature recommendations derived from mining public product descriptions (HD, MG, NH, JCH, BM, CCH, MM), pp. 181–190.