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Hila Becker
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2010 – 2019
- 2013
- [j3]Fotis Psallidas, Hila Becker, Mor Naaman, Luis Gravano:
Effective Event Identification in Social Media. IEEE Data Eng. Bull. 36(3): 42-50 (2013) - 2012
- [c11]Hila Becker, Dan Iter, Mor Naaman, Luis Gravano:
Identifying content for planned events across social media sites. WSDM 2012: 533-542 - 2011
- [b1]Hila Becker:
Identification and Characterization of Events in Social Media. Columbia University, USA, 2011 - [j2]Mor Naaman, Hila Becker, Luis Gravano:
Hip and trendy: Characterizing emerging trends on Twitter. J. Assoc. Inf. Sci. Technol. 62(5): 902-918 (2011) - [c10]Hila Becker, Feiyang Chen, Dan Iter, Mor Naaman, Luis Gravano:
Automatic Identification and Presentation of Twitter Content for Planned Events. ICWSM 2011 - [c9]Hila Becker, Mor Naaman, Luis Gravano:
Beyond Trending Topics: Real-World Event Identification on Twitter. ICWSM 2011 - [c8]Hila Becker, Mor Naaman, Luis Gravano:
Selecting Quality Twitter Content for Events. ICWSM 2011 - 2010
- [c7]Hila Becker, Mor Naaman, Luis Gravano:
Learning similarity metrics for event identification in social media. WSDM 2010: 291-300
2000 – 2009
- 2009
- [c6]Hila Becker, Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, Bo Pang:
What happens after an ad click?: quantifying the impact of landing pages in web advertising. CIKM 2009: 57-66 - [c5]Hila Becker, Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, Bo Pang:
Context transfer in search advertising. SIGIR 2009: 656-657 - [c4]Hila Becker, Mor Naaman, Luis Gravano:
Event Identification in Social Media. WebDB 2009 - 2007
- [j1]Hila Becker, Marta Arias:
Real-time ranking of electrical feeders using expert advice. Monde des Util. Anal. Données 36: 122-128 (2007) - [c3]Hila Becker, Christopher Meek, David Maxwell Chickering:
Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315 - [c2]Hila Becker, Marta Arias:
Real-time ranking with concept drift using expert advice. KDD 2007: 86-94 - 2006
- [c1]Suhit Gupta, Hila Becker, Gail E. Kaiser, Salvatore J. Stolfo:
Verifying genre-based clustering approach to content extraction. WWW 2006: 875-876
Coauthor Index
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