Travelled to:1 × Chile
1 × China
5 × USA
Collaborated with:A.W.Moore E.Agichtein D.Carmel E.Yom-Tov A.Darlow E.Kravi I.Guy Y.Kanza A.Mejer Q.Liu G.Dror E.Gabrilovich Y.Maarek I.Szpektor Y.Adler E.Farchi M.Klausner O.Raz M.Shochat S.Ur A.Zlotnick
Talks about:mean (3) searcher (2) cluster (2) web (2) unfamiliar (1) understand (1) satisfact (1) interpret (1) difficult (1) communiti (1)
Person: Dan Pelleg
DBLP: Pelleg:Dan
Contributed to:
20152011
20092006
20012000
1999Wrote 7 papers:
- SIGIR-2015-KraviAGKMP #comprehension #web
- Searcher in a Strange Land: Understanding Web Search from Familiar and Unfamiliar Locations (EK, EA, IG, YK, AM, DP), pp. 855–858.
- SIGIR-2011-LiuADGMPS #predict #web
- Predicting web searcher satisfaction with existing community-based answers (QL, EA, GD, EG, YM, DP, IS), pp. 415–424.
- ISSTA-2009-AdlerFKPRSUZ #analysis #string #test coverage #using
- Advanced code coverage analysis using substring holes (YA, EF, MK, DP, OR, MS, SU, AZ), pp. 37–46.
- SIGIR-2006-CarmelYDP #query #question #what
- What makes a query difficult? (DC, EYT, AD, DP), pp. 390–397.
- ICML-2001-PellegM #clustering
- Mixtures of Rectangles: Interpretable Soft Clustering (DP, AWM), pp. 401–408.
- ICML-2000-PellegM #clustering #estimation #named #performance
- X-means: Extending K-means with Efficient Estimation of the Number of Clusters (DP, AWM), pp. 727–734.
- KDD-1999-PellegM #algorithm #geometry #reasoning
- Accelerating Exact k-means Algorithms with Geometric Reasoning (DP, AWM), pp. 277–281.