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Not Relevant | Information retrieval research at the bleeding edge.

Information retrieval research at the bleeding edge.

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Not Relevant | Information retrieval research at the bleeding edge. | nonrel.wordpress.com Reviews
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Not Relevant | Information retrieval research at the bleeding edge. | nonrel.wordpress.com Reviews

https://nonrel.wordpress.com

Information retrieval research at the bleeding edge.

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Editorial board | Not Relevant

https://nonrel.wordpress.com/editorial-board

Information retrieval research at the bleeding edge. Editor-in-chief: Ian Soboroff, National Institute of Standards and Technology. Nicholas Belkin, Rutgers University. Charles L. A. Clarke, University of Waterloo. Kevyn Collins-Thompson, Microsoft Research. Fernando Diaz, Yahoo! Gene Golovchinsky, FX Palo Alto Laboratory. Donna Harman, National Institute of Standards and Technology. Jaap Kamps, University of Amsterdam. Jussi Karlgren, Swedish Institute of Computer Science. March 26, 2010 at 11:34 am.

2

Ian | Not Relevant

https://nonrel.wordpress.com/author/isoboroff

Information retrieval research at the bleeding edge. SWIRL ’12 looks at The Future of IR. January 10, 2012. SWIRL ( http:/ www.cs.rmit.edu.au/swirl12/index.php. Is a workshop series that aims to explore the long-range issues in information retrieval. The 2012 meeting will take place next month in Lorne, Victoria, Australia. Original list is at http:/ www.cs.rmit.edu.au/swirl12/proceedings.php. What do you think of this list? Are there other papers you feel should be on this list? Gabriella Kazai, Jaap Ka...

3

SIGIR 2011 Highlight: “Out of Sight, Not Out of Mind” | Not Relevant

https://nonrel.wordpress.com/2011/08/01/sigir-2011-highlight-out-of-sight-not-out-of-mind

Information retrieval research at the bleeding edge. SIGIR 2011 Highlight: “Out of Sight, Not Out of Mind”. SIGIR 2011 Highlight: “Out of Sight, Not Out of Mind”. August 1, 2011. A “highlights” post is meant to call attention to a paper which grabbed our attention and we think is worth your time. This paper, “Out of Sight, Not Out of Mind: On the Effect of Social and Physical Detachment on Information Need” by Elad Yom-Tov and Fernando Diaz. Won an honorable mention last week at SIGIR 2011 in Beijing.

4

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets | Not Relevant

https://nonrel.wordpress.com/2010/05/12/efficient-and-effective-spam-filtering-and-re-ranking-for-large-web-datasets

Information retrieval research at the bleeding edge. Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets. Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets. May 12, 2010. Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke. Get the paper at arxiv.org. Commentary from Mounia Lalmas). It provides a complete methodology to label large dataset, here ClueWeb09, with minimal computation and training. Each generated label is a percentile score tha...

5

Vote for the best CIKM 2010 papers | Not Relevant

https://nonrel.wordpress.com/2010/10/26/vote-for-the-best-cikm-2010-papers

Information retrieval research at the bleeding edge. Vote for the best CIKM 2010 papers. Vote for the best CIKM 2010 papers. October 26, 2010. Is taking place right now in Toronto, Ontario, Canada. I have collected all the papers in the IR track below. Please take a moment to vote for those papers you think are the most provocative, innovative, startling, or otherwise interesting. You can vote for up to 3 papers. October 26, 2010 at 10:13 pm. I picked the two that were more interesting to me! Email check...

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Recuperacion de Informacion: Calculo de relevancia y usuarios

http://tfidf.blogspot.com/2010/05/calculo-de-relevancia-y-usuarios.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Lunes, 24 de mayo de 2010. Calculo de relevancia y usuarios. El calculo de relevancia que realizan buscadores como Google o Bing a la hora de ordenar los resultados correspondientes a una consulta de un usuario es una aproximacion a la relevancia real que cada documento tiene para el usuario que realiza la consulta. El ejemplo tipico es la busqueda local....

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: Son bueno estos resultados?

http://tfidf.blogspot.com/2010/05/son-bueno-estos-resultados.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Martes, 4 de mayo de 2010. Son bueno estos resultados? Una de las cosas mas dificiles de saber cuando tenemos un buscador es si estamos devolviendo resultados relevantes en nuestro buscador, especialmente cuando no tenemos los query logs con la informacion de interaccion de los usuarios. Estimating the Query Difficulty for Information Retrieval. Doctor en Inf...

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: agosto 2010

http://tfidf.blogspot.com/2010_08_01_archive.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Miércoles, 4 de agosto de 2010. Why Lucene doesn't work properly with structured documents? Most ranking functions, use a non-linear method to saturate the computation of the frequencies. This is due to the fact that the information gained on observing a term the first time is greater than the information gained on subsequently seeing the same term. The ranki...

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: diciembre 2010

http://tfidf.blogspot.com/2010_12_01_archive.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Viernes, 3 de diciembre de 2010. Neutralizing DNS attack on Wikileaks. Enlaces a esta entrada. Suscribirse a: Entradas (Atom). Madrid, Madrid, Spain. Doctor en Informatica por la Universidad Complutense de Madrid, llevo varios años trabajando en temas relacionados con Recuperacion de Informacion y buscadores. Ver todo mi perfil. Mi lista de blogs.

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: Why Lucene doesn't work properly with structured documents?

http://tfidf.blogspot.com/2010/08/why-lucene-doesnt-work-properly-with.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Miércoles, 4 de agosto de 2010. Why Lucene doesn't work properly with structured documents? Most ranking functions, use a non-linear method to saturate the computation of the frequencies. This is due to the fact that the information gained on observing a term the first time is greater than the information gained on subsequently seeing the same term. The ranki...

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: Neutralizing DNS attack on Wikileaks.

http://tfidf.blogspot.com/2010/12/neutralizing-dns-attack-on-wikileaks.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Viernes, 3 de diciembre de 2010. Neutralizing DNS attack on Wikileaks. Publicar un comentario en la entrada. Suscribirse a: Enviar comentarios (Atom). Madrid, Madrid, Spain. Doctor en Informatica por la Universidad Complutense de Madrid, llevo varios años trabajando en temas relacionados con Recuperacion de Informacion y buscadores. Ver todo mi perfil.

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: Los problemas de la Busqueda Semantica

http://tfidf.blogspot.com/2010/05/los-problemas-de-la-busqueda-semantica.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Jueves, 20 de mayo de 2010. Los problemas de la Busqueda Semantica. El ranking es la pieza clave de un buscador, ya que un buscador ha de ser capaz de situar aquellos documentos que satisfacen la necesidad de informacion del usuario, es decir los mas relevantes, en las primeras posiciones de la lista de resultados. Un error muy tipico es pensar que los buscad...

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: La clave es el ranking

http://tfidf.blogspot.com/2010/06/la-clave-es-el-ranking.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Sábado, 19 de junio de 2010. La clave es el ranking. Los operadores booleanos AND, OR y NOT han sido usados durante mucho tiempo como base para crear lenguajes de consulta sencillos pero a la vez bastante potentes. Un buen ejemplo de lenguaje de consulta basado en logica booleana es SQL, utilizado en bases de datos relacionales. En el mundo SEO es tambien fac...

tfidf.blogspot.com tfidf.blogspot.com

Recuperacion de Informacion: mayo 2010

http://tfidf.blogspot.com/2010_05_01_archive.html

En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Lunes, 24 de mayo de 2010. Calculo de relevancia y usuarios. El calculo de relevancia que realizan buscadores como Google o Bing a la hora de ordenar los resultados correspondientes a una consulta de un usuario es una aproximacion a la relevancia real que cada documento tiene para el usuario que realiza la consulta. El ejemplo tipico es la busqueda local....

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Not Relevant | Information retrieval research at the bleeding edge.

Information retrieval research at the bleeding edge. SWIRL ’12 looks at The Future of IR. January 10, 2012. SWIRL ( http:/ www.cs.rmit.edu.au/swirl12/index.php. Is a workshop series that aims to explore the long-range issues in information retrieval. The 2012 meeting will take place next month in Lorne, Victoria, Australia. Original list is at http:/ www.cs.rmit.edu.au/swirl12/proceedings.php. What do you think of this list? Are there other papers you feel should be on this list? Gabriella Kazai, Jaap Ka...

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Darr; Skip to Main Content. Most Haunted Places To Visit, Homes, Castles, Houses, Prisons. March 16, 2014. Most Haunted Places To Visit, Homes, Castles, Houses, Prisons. Raynham Hall, Norfolk England – Brown Lady picture in 1936 in hall. Monte Cristo Homestead, Junee, New South Wales, Australia – known as Australia’s Most Haunted House. The Queen Mary, Long Beach, California – Sailors, children and a lady in white are said to have been seen. The White House, Washington D.C. March 8, 2014. Carb depletion ...

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