http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955 This is a supplemental blog for a course which will cover how the social, technological, and natural worlds are connected, and how the study of networks sheds light on these connections. Fri, 08 Mar 2013 14:25:18 +0000 http://wordpress.org/?v=2.3.3 http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955#comment-1311 Cornell Info 204 - Networks » Blog Archive » Value and Growth of Networked Information: Aggregation, Search in a Semantic Web, and HCI on Graphs Thu, 05 Apr 2007 03:03:12 +0000 http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955#comment-1311 [...] As pointed out by beefcake [link], finding relevant content often limits users on the internet more than lack of content.  Of course, companies like Google have profited greatly from search: utilizing the link structure of the internet to help users navigate.  Indeed, web growth these days is very much dependent on the aggregation, search, and classification of cheap content.  The age of “Content is King” on the web has gone. [...] […] As pointed out by beefcake [link], finding relevant content often limits users on the internet more than lack of content.  Of course, companies like Google have profited greatly from search: utilizing the link structure of the internet to help users navigate.  Indeed, web growth these days is very much dependent on the aggregation, search, and classification of cheap content.  The age of “Content is King” on the web has gone. […]

]]> http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955#comment-1310 Cornell Info 204 Digest » Blog Archive » Search and Information Cascades Fri, 30 Mar 2007 16:58:22 +0000 http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955#comment-1310 [...] Also on the topic of information search, beefcake raised the question of whether it would be possible to design a system which can filter information from web pages. An interesting answer was provided by ahuckk. In class, we focused on the traditional query-based search engines. Some new social media sites, such as blogs, wikis, Digg and Flickr, rely on the users to actively create, evaluate and distribute information, thus providing an effective information filtering approach. For example, Digg allows users to submit, vote on, and discuss news stories they find on the web. The votes of users determine which stories are promoted to the front page. Interestingly, the voting system of Digg is also related to another topic we covered in class: information cascades. A study by Kristina Lerman shows that Digg users are more likely to be interested in the news stories their friends also find interesting, and the filtering may result in overrepresentation of an article. [...] […] Also on the topic of information search, beefcake raised the question of whether it would be possible to design a system which can filter information from web pages. An interesting answer was provided by ahuckk. In class, we focused on the traditional query-based search engines. Some new social media sites, such as blogs, wikis, Digg and Flickr, rely on the users to actively create, evaluate and distribute information, thus providing an effective information filtering approach. For example, Digg allows users to submit, vote on, and discuss news stories they find on the web. The votes of users determine which stories are promoted to the front page. Interestingly, the voting system of Digg is also related to another topic we covered in class: information cascades. A study by Kristina Lerman shows that Digg users are more likely to be interested in the news stories their friends also find interesting, and the filtering may result in overrepresentation of an article. […]

]]> http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955#comment-1309 Cornell Info 204 - Networks » Blog Archive » Social Networking Systems and Web Information Retrieval Fri, 30 Mar 2007 01:27:56 +0000 http://nsdl.library.cornell.edu/websites/expertvoices/info2040/archives/1955#comment-1309 [...] As beefcake points out in a recent post, there is significant need for effective web page filtering. Due to the web’s monolithic size and the dynamic nature of its content, effective filtering becomes very difficult. In class, we focused on exploiting the hyperlink structure of the web to rank pages relevant to a query. Though this is a powerful, proven method used by Google and other search engines, it confines the user to using queries to explore the web. While this helps users locate relevant items, it is not particularly useful for discovery of things that they aren’t yet aware of but may find interesting. [...] […] As beefcake points out in a recent post, there is significant need for effective web page filtering. Due to the web’s monolithic size and the dynamic nature of its content, effective filtering becomes very difficult. In class, we focused on exploiting the hyperlink structure of the web to rank pages relevant to a query. Though this is a powerful, proven method used by Google and other search engines, it confines the user to using queries to explore the web. While this helps users locate relevant items, it is not particularly useful for discovery of things that they aren’t yet aware of but may find interesting. […]

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