 | 2012 |
| 13 |  | Damon Horowitz,
Sepandar D. Kamvar:
Searching the village: models and methods for social search.
Commun. ACM 55(4): 111-118 (2012) |
| 2011 |
| 12 |  | Salman Ahmad,
Alexis Battle,
Zahan Malkani,
Sepandar D. Kamvar:
The jabberwocky programming environment for structured social computing.
UIST 2011: 53-64 |
| 11 |  | Sepandar D. Kamvar,
Jonathan Harris:
We feel fine and searching the emotional web.
WSDM 2011: 117-126 |
| 2010 |
| 10 |  | Damon Horowitz,
Sepandar D. Kamvar:
The anatomy of a large-scale social search engine.
WWW 2010: 431-440 |
| 2005 |
| 9 |  | Beverly Yang,
Tyson Condie,
Sepandar D. Kamvar,
Hector Garcia-Molina:
Non-Cooperation in Competitive P2P Networks.
ICDCS 2005: 91-100 |
| 2004 |
| 8 |  | Tyson Condie,
Sepandar D. Kamvar,
Hector Garcia-Molina:
Adaptive Peer-to-Peer Topologies.
Peer-to-Peer Computing 2004: 53-62 |
| 2003 |
| 7 |  | Sepandar D. Kamvar,
Mario T. Schlosser,
Hector Garcia-Molina:
Incentives for Combatting Freeriding on P2P Networks.
Euro-Par 2003: 1273-1279 |
| 6 |  | Sepandar D. Kamvar,
Dan Klein,
Christopher D. Manning:
Spectral Learning.
IJCAI 2003: 561-566 |
| 5 |  | Sepandar D. Kamvar,
Taher H. Haveliwala,
Christopher D. Manning,
Gene H. Golub:
Extrapolation methods for accelerating PageRank computations.
WWW 2003: 261-270 |
| 4 |  | Sepandar D. Kamvar,
Mario T. Schlosser,
Hector Garcia-Molina:
The Eigentrust algorithm for reputation management in P2P networks.
WWW 2003: 640-651 |
| 3 |  | Mayank Bawa,
Brian F. Cooper,
Arturo Crespo,
Neil Daswani,
Prasanna Ganesan,
Hector Garcia-Molina,
Sepandar D. Kamvar,
Sergio Marti,
Mario T. Schlosser,
Qi Sun,
Patrick Vinograd,
Beverly Yang:
Peer-to-peer research at Stanford.
SIGMOD Record 32(3): 23-28 (2003) |
| 2002 |
| 2 |  | Sepandar D. Kamvar,
Dan Klein,
Christopher D. Manning:
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach.
ICML 2002: 283-290 |
| 1 |  | Dan Klein,
Sepandar D. Kamvar,
Christopher D. Manning:
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering.
ICML 2002: 307-314 |