infoblog.stanford.edu
Stanford InfoBlog: SpotSigs: Are Stopwords Finally Good for Something? (Posted by Martin Theobald)
http://infoblog.stanford.edu/2008/08/spotsigs-are-stopwords-finally-good-for.html
SpotSigs: Are Stopwords Finally Good for Something? Posted by Martin Theobald). In almost all classical Information. Settings that have a text processing component, stopwords. Are first discarded before anything interesting happens with the document. Interesting here might mean indexing the content for search, extracting features for automatic classification, or some other form of content analysis of whatever flavor. Jonathan. My co-author on the SpotSigs paper. But applies more generally across the web.
infoblog.stanford.edu
Stanford InfoBlog: Clustering the Tagged Web (Posted by Daniel Ramage)
http://infoblog.stanford.edu/2008/11/clustering-tagged-web-posted-by-daniel.html
Clustering the Tagged Web (Posted by Daniel Ramage). I'm looking forward to presenting Clustering the Tagged Web. The paper is joint work with Paul Heymann, Hector Garcia-Molina, and Christopher D. Manning. We examine how and when social web bookmarks. Like those found on del.icio.us. Can be used to improve unsupervised flat clustering algorithms. A social web bookmark. Is like a regular web bookmark of a URL by some web user, except that the social web bookmark is posted to a centralized web. Given a la...
infoblog.stanford.edu
Stanford InfoBlog: Report: 2008 Berkeley Database Self-Assessment (Posted by Hector Garcia-Molina)
http://infoblog.stanford.edu/2008/06/report-2008-berkeley-database-self.html
Report: 2008 Berkeley Database Self-Assessment (Posted by Hector Garcia-Molina). Periodically, a group of self-anointed database "experts" meet to assess the state of the database field. The most recent of these self-assessment meetings was held at Berkeley, CA May 29-30, 2008. The Berkeley meeting (above) was the fifth in the series. Laguna Beach, 1988: Missing online. ( DBLP Metadata. Lagunita 1990: Missing online. ( DBLP Metadata. Asilomar 1998. (SIGMOD Record: html. Lowell 2003. ( MSR. There were abo...
infoblog.stanford.edu
Stanford InfoBlog: Generic Entity Resolution with Negative Rules (Posted by Steven Whang)
http://infoblog.stanford.edu/2008/10/generic-entity-resolution-with-negative.html
Generic Entity Resolution with Negative Rules (Posted by Steven Whang). Entity Resolution (ER) is a process of identifying records that refer to the same real-world entity and merging them together. For example, two companies that merge may want to combine their customer records: for a given customer that dealt with the two companies they create a composite record that combines the known information. Applying negative rules is an expensive process (at least quadratic) that should not be run on the entire...
infoblog.stanford.edu
Stanford InfoBlog: May 2008
http://infoblog.stanford.edu/2008_05_01_archive.html
Wednesday, May 28, 2008. Why Write a Blog? Posted by Paul Heymann). Most blogs seem to start out with a mission statement, a modus operandi, or an introduction. I would like to start out with something a little more analytical. Each post in this blog is likely to discuss some topic related to research at the InfoLab. And I would like to start with a simple question: why blog? About a year ago now, I started working on a paper called "Can Social Bookmarking Improve Web Search? On the scale of the web?
infoblog.stanford.edu
Stanford InfoBlog: Feedback! (Posted by Paul Heymann)
http://infoblog.stanford.edu/2008/09/feedback-posted-by-paul-heymann.html
Posted by Paul Heymann). Hello there. We've now been posting to the Stanford InfoBlog for a few months. We hope you've enjoyed the posts so far, but we'd like to know a little more about who you are and what you like in order to better serve you (and to get an idea of how our own research fits into the world of research outside of Stanford and outside of academia). If you have a few minutes, we would really appreciate if you could fill out a survey here. October 9, 2008 at 6:46 PM. B) Introduce research ...
infoblog.stanford.edu
Stanford InfoBlog: Who is the Data Leaker? (Posted by Panagiotis Papadimitriou)
http://infoblog.stanford.edu/2008/08/who-is-data-leaker-posted-by-panagiotis.html
Who is the Data Leaker? Posted by Panagiotis Papadimitriou). In the course of doing business, sometimes sensitive data must be handed over to supposedly trusted third parties. For example, social networking sites, such as Facebook. Share users' data with social applications. We call the owner of the data the distributor. And the supposedly trusted third parties the agents. When the distributor's sensitive data has been leaked. By agents, and if possible to identify the agent that leaked the data. Matchin...
infoblog.stanford.edu
Stanford InfoBlog: Certain Answers From Uncertain Data (Posted by Parag Agrawal)
http://infoblog.stanford.edu/2008/08/certain-answers-from-uncertain-data.html
Certain Answers From Uncertain Data (Posted by Parag Agrawal). In his blog entry. Anish argues that maintaining uncertainty through the data management system (Approach-M) can yield benefits. Processing uncertain data correctly. That is simpler and more. Allowing the user to compute most likely. Answers is a common way to provide a "simple to use" result. The result may be restricted to these high-probability results using a confidence threshold, or a top-k by confidence query. This paper. Making Flexibl...
infoblog.stanford.edu
Stanford InfoBlog: October 2008
http://infoblog.stanford.edu/2008_10_01_archive.html
Wednesday, October 22, 2008. Generic Entity Resolution with Negative Rules (Posted by Steven Whang). Entity Resolution (ER) is a process of identifying records that refer to the same real-world entity and merging them together. For example, two companies that merge may want to combine their customer records: for a given customer that dealt with the two companies they create a composite record that combines the known information. Applying negative rules is an expensive process (at least quadratic) that sh...
infoblog.stanford.edu
Stanford InfoBlog: November 2008
http://infoblog.stanford.edu/2008_11_01_archive.html
Tuesday, November 25, 2008. Clustering the Tagged Web (Posted by Daniel Ramage). I'm looking forward to presenting Clustering the Tagged Web. The paper is joint work with Paul Heymann, Hector Garcia-Molina, and Christopher D. Manning. We examine how and when social web bookmarks. Like those found on del.icio.us. Can be used to improve unsupervised flat clustering algorithms. A social web bookmark. A tag is simply a word you use to describe a bookmark. Unlike folders, you make up tags when you need th...
