July 2nd, 2009 by Guest Author
Posted in Innovations, Realtime | No Comments »
Wikirage is a tool that tracks the entries in the Wikipedia that are getting the most edits over different periods of time. I started this project to see if I could find an alternative to traffic data for judging Internet trends.
I was very impressed with the results and how they mirror what is going on in popular culture.
Wikirage uses the edit stream on Wikipedia to find out what is hot and trendy in pop culture. The first step in the process is to capture the edit stream. Wikipedia provides this reasonably up to date at this web address. I’m currently not capturing Robots or Minor Edits, getting 500 edits a page spreads a time frame of 5-10 minutes depending on time of day and day of week. The second step is to visit the page editing for every entry that was found in the list. Wikipedia lets you see that. I log all of these actions in a database.
By Craig Wood
July 2nd, 2009 by Charles S. Knight
Posted in Innovations, iPhone | No Comments »
July 1st, 2009 by Charles S. Knight
Posted in Innovations | No Comments »
What is MrTaggy?
MrTaggy is an experiment in web search and exploration built on top of a PARC algorithm called TagSearch. Think of MrTaggy as a cross between a search engine and a recommendation engine: it’s a web browsing guide constructed from social tagging data.
Unlike most search engines, MrTaggy doesn’t index the text on a web page. Instead, it leverages the knowledge contained in the tags that people add to web pages when using social bookmarking services. Tags describe both the content and context of a web page, and we use that information to deliver relevant search results.
The problem with using social tags is that they contain a lot of noise, because people often use different words to mean the same thing or the same words to mean different things. The TagSearch algorithm is part of our ongoing research to
reduce the noise while amplifying the information signal from social tags.
We also designed a novel search UI to explore the tag space. The Related Tags sidebar outlines the content landscape to help you understand the space. The relevance feedback capabilities enable you to tell the system both positive and negative cues about directions where you want to go. Try clicking on the Thumbs Up and Down to give feedback to MrTaggy about the tags or results that you liked, and see how your rating changes the result set on-the-fly.
June 30th, 2009 by Charles S. Knight
Posted in Innovations, Majors | 1 Comment »
June 30th, 2009 by Charles S. Knight
Posted in Innovations | No Comments »
FirstStop WebSearch is designed to increase Web searchers’ productivity by allowing them to do the things they cannot do with standard search engines.
Search multiple engines all at once.
Use more than one search engine to get comprehensive search results.
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Get all available search results in a single list. Save the time you would spend browsing multiple search results pages and copying results to your list 10 or 20 at a time.
Automatically conduct multiple searches.
Batch searching is an effective way to carry out a large number of searches.
Working with multiple search engines:
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- Almost any web search engine can be added to FirstStop WebSearch. (How to add search sources?)
- RSS search feeds can be easily added to FirstStop.
- Utilize five modes of search: simple, all words, any words, phrase, custom. *
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Retrieving large volumes of search results:
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Working with search results:
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- You can repeat searches from the history and see if new search results are available. *
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- You can export searches to various office and web applications:
Making large volumes of search results manageable:
- Search keywords are highlighted.
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Download a Free Trial
Source: FirstStop WebSearch
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