 | 2010 |
| 14 |  | Matthew W. Bilotti,
Jonathan L. Elsas,
Jaime G. Carbonell,
Eric Nyberg:
Rank learning for factoid question answering with linguistic and semantic constraints.
CIKM 2010: 459-468 |
| 13 |  | Jonathan L. Elsas,
Susan T. Dumais:
Leveraging temporal dynamics of document content in relevance ranking.
WSDM 2010: 1-10 |
| 2009 |
| 12 |  | Jonathan L. Elsas,
Jaime G. Carbonell:
It pays to be picky: an evaluation of thread retrieval in online forums.
SIGIR 2009: 714-715 |
| 11 |  | Jonathan L. Elsas,
Pinar Donmez,
Jamie Callan,
Jaime G. Carbonell:
Pairwise Document Classification for Relevance Feedback.
TREC 2009 |
| 10 |  | Eytan Adar,
Jaime Teevan,
Susan T. Dumais,
Jonathan L. Elsas:
The web changes everything: understanding the dynamics of web content.
WSDM 2009: 282-291 |
| 2008 |
| 9 |  | Vitor R. Carvalho,
Jonathan L. Elsas,
William W. Cohen,
Jaime G. Carbonell:
Suppressing outliers in pairwise preference ranking.
CIKM 2008: 1487-1488 |
| 8 |  | Jaime Arguello,
Jonathan L. Elsas,
Jamie Callan,
Jaime G. Carbonell:
Document Representation and Query Expansion Models for Blog Recommendation.
ICWSM 2008 |
| 7 |  | Jonathan L. Elsas,
Jaime Arguello,
Jamie Callan,
Jaime G. Carbonell:
Retrieval and feedback models for blog feed search.
SIGIR 2008: 347-354 |
| 6 |  | Jaime Arguello,
Jonathan L. Elsas,
Changkuk Yoo,
Jamie Callan,
Jaime G. Carbonell:
Document and Query Expansion Models for Blog Distillation.
TREC 2008 |
| 5 |  | Jonathan L. Elsas,
Vitor R. Carvalho,
Jaime G. Carbonell:
Fast learning of document ranking functions with the committee perceptron.
WSDM 2008: 55-64 |
| 2007 |
| 4 |  | Jonathan L. Elsas,
Jaime Arguello,
Jamie Callan,
Jaime G. Carbonell:
Retrieval and Feedback Models for Blog Distillation.
TREC 2007 |
| 2005 |
| 3 |  | Gary Marchionini,
Stephanie W. Haas,
Junliang Zhang,
Jonathan L. Elsas:
Accessing Government Statistical Information.
IEEE Computer 38(12): 52-61 (2005) |
| 2004 |
| 2 |  | Junliang Zhang,
Tim Shearer,
Gary Marchionini,
Miles Efron,
Jonathan L. Elsas:
Relation Browser++: an information exploration and searching tool.
DG.O 2004 |
| 1 |  | Miles Efron,
Jonathan L. Elsas,
Gary Marchionini,
Junliang Zhang:
Machine learning for information architecture in a large governmental website.
JCDL 2004: 151-159 |