Travelled to:1 × China
1 × Ireland
6 × USA
Collaborated with:A.Tuzhilin S.Prawesh Z.(.Zheng H.Zhang H.Zheng S.O.Kimbrough L.Li D.Wang T.Li D.Knox
Talks about:recommend (3) pattern (3) news (3) discoveri (2) unexpect (2) approach (2) tempor (2) system (2) person (2) discov (2)
Person: Balaji Padmanabhan
DBLP: Padmanabhan:Balaji
Contributed to:
20122011
2011
20042001200019981996Wrote 9 papers:
- RecSys-2012-PraweshP #feedback #probability #recommendation
- Probabilistic news recommender systems with feedback (SP, BP), pp. 257–260.
- RecSys-2011-PraweshP #recommendation
- The “top N” news recommender: count distortion and manipulation resistance (SP, BP), pp. 237–244.
- SIGIR-2011-LiWLKP #named #personalisation #recommendation #scalability
- SCENE: a scalable two-stage personalized news recommendation system (LL, DW, TL, DK, BP), pp. 125–134.
- KDD-2004-ZhangPT #on the #statistics
- On the discovery of significant statistical quantitative rules (HZ, BP, AT), pp. 374–383.
- KDD-2004-ZhengPZ #approach
- A DEA approach for model combination (Z(Z, BP, HZ), pp. 755–760.
- KDD-2001-PadmanabhanZK #personalisation #semistructured data #what
- Personalization from incomplete data: what you don’t know can hurt (BP, Z(Z, SOK), pp. 154–163.
- KDD-2000-PadmanabhanT #set
- Small is beautiful: discovering the minimal set of unexpected patterns (BP, AT), pp. 54–63.
- KDD-1998-PadmanabhanT
- A Belief-Driven Method for Discovering Unexpected Patterns (BP, AT), pp. 94–100.
- KDD-1996-PadmanabhanT #approach #database #logic
- Pattern Discovery in Temporal Databases: A Temporal Logic Approach (BP, AT), pp. 351–354.