Travelled to:1 × China
1 × France
1 × Switzerland
1 × USA
Collaborated with:S.Siersdorfer P.Smyth S.Bunk J.Risch B.Billerbeck G.Demartini C.S.Firan T.Iofciu P.Fankhauser W.Nejdl N.K.Tran S.Zerr K.Bischoff C.Niederée
Talks about:topic (5) latent (4) recommend (2) entiti (2) base (2) sentiment (1) dirichlet (1) apparatus (1) incorpor (1) contextu (1)
Person: Ralf Krestel
DBLP: Krestel:Ralf
Contributed to:
2013
2013
20132010
20102009
2018Wrote 8 papers:
- HT-2013-KrestelS #generative #sentiment #topic
- Generating contextualized sentiment lexica based on latent topics and user ratings (RK, SS), pp. 129–138.
- RecSys-2013-KrestelS #recommendation #topic
- Recommending patents based on latent topics (RK, PS), pp. 395–398.
- TPDL-2013-TranZBNK #analysis #corpus #topic
- Topic Cropping: Leveraging Latent Topics for the Analysis of Small Corpora (NKT, SZ, KB, CN, RK), pp. 297–308.
- ECDL-2010-BillerbeckDFIK #query #ranking #using #web
- Ranking Entities Using Web Search Query Logs (BB, GD, CSF, TI, RK), pp. 273–281.
- SIGIR-2010-BillerbeckDFIK #retrieval
- Exploiting click-through data for entity retrieval (BB, GD, CSF, TI, RK), pp. 803–804.
- RecSys-2009-KrestelFN #recommendation
- Latent dirichlet allocation for tag recommendation (RK, PF, WN), pp. 61–68.
- JCDL-2018-BunkK #modelling #named #topic #word
- WELDA: Enhancing Topic Models by Incorporating Local Word Context (SB, RK), pp. 293–302.
- JCDL-2018-RischK #approach #question
- My Approach = Your Apparatus? (JR, RK), pp. 283–292.