Travelled to:1 × China
4 × USA
Collaborated with:R.Sumbaly J.Kreps M.Tiwari P.Anchuri H.J.Kim P.Lee L.V.S.Lakshmanan A.Reda Y.Park C.Posse L.Wu C.Riccomini G.Koo M.Bastian M.Hayes W.Vaughan P.Skomoroch S.Uryasev C.Lloyd
Talks about:scale (3) recommend (2) system (2) link (2) larg (2) architectur (1) ecosystem (1) metaphor (1) discount (1) product (1)
Person: Sam Shah
DBLP: Shah:Sam
Contributed to:
2014
2014
2014
20132012
2012Wrote 6 papers:
- CIKM-2014-AnchuriSS #architecture #detection
- Hotspot Detection in a Service-Oriented Architecture (PA, RS, SS), pp. 1749–1758.
- KDD-2014-LeeLTS #modelling #recommendation #scalability
- Modeling impression discounting in large-scale recommender systems (PL, LVSL, MT, SS), pp. 1837–1846.
- RecSys-2014-BastianHVSSKUL #scalability #topic
- LinkedIn skills: large-scale topic extraction and inference (MB, MH, WV, SS, PS, HJK, SU, CL), pp. 1–8.
- SIGMOD-2013-SumbalyKS #big data #ecosystem
- The big data ecosystem at LinkedIn (RS, JK, SS), pp. 1125–1134.
- CIKM-2012-RedaPTPS #named #recommendation
- Metaphor: a system for related search recommendations (AR, YP, MT, CP, SS), pp. 664–673.
- VLDB-2012-WuSRKKKS #named
- Avatara: OLAP for Web-scale Analytics Products (LW, RS, CR, GK, HJK, JK, SS), pp. 1874–1877.