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The blue social bookmark and publication sharing system.
- How To Optimize A YouTube Video For Search engines video tutorial. This is a 2 part video series where I show you how I go about doing my videos and gettin...How To Optimize A YouTube Video For Search engines video tutorial. This is a 2 part video series where I show you how I go about doing my videos and getting them ranked for the keywords that I target. This is a simple technique but it takes a little time and research but you can also tap into a profitable niche doing this same method. Optimize A YouTube video was the same keyword I went after of in this video tutorial to make this 2 part series and just to see if I can dominate the first page with this search term.............
- Short introduction to Vector Space Model (VSM) In information retrieval or text mining, the term frequency - inverse document frequency also called tf-idf,...Short introduction to Vector Space Model (VSM) In information retrieval or text mining, the term frequency - inverse document frequency also called tf-idf, is
- Personal Web searching in the age of semantic capitalism: Diagnosing the mechanisms of personalisation by Martin Feuz, Matthew Fuller, and Felix Stalder. ...Personal Web searching in the age of semantic capitalism: Diagnosing the mechanisms of personalisation by Martin Feuz, Matthew Fuller, and Felix Stalder. First Monday, Volume 16, Number 2 - 7 February 2011 http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArticle/3344/2766 Web search engines have become indispensable tools for finding information online effectively. As the range of information, context and users of Internet searches has grown, the relationship between the search query, search interest and user has become more tenuous. Not all users are seeking the same information, even if they use the same query term. Thus, the quality of search results has, at least potentially, been decreasing. Search engines have begun to respond to this problem by trying to personalise search in order to deliver more relevant results to the users. A query is now evaluated in the context of a user’s search history and other data compiled into a personal profile and associated with statistical groups. This, at least, is the promise stated by the search engines themselves. This paper tries to assess the current reality of the personalisation of search results. We analyse the mechanisms of personalisation in the case of Google web search by empirically testing three commonly held assumptions about what personalisation does. To do this, we developed new digital methods which are explained here. The findings suggest that Google personal search does not fully provide the much-touted benefits for its search users. More likely, it seems to serve the interest of advertisers in providing more relevant audiences to them.
- The real, last, big Whole Earth Catalog.
- Linked Open Vocabularies used in the linked data cloud
- ICAPS, page 137-144. (2010)
- IJCAI, page 2378-2384. (2007)
- SOCS, (2011)
- Inf. Process. Manage. (May 2002)
- SOCS, (2011)
- Pacific Rim International Conference on Artificial Intelligence PRICAI, page 389-398. (1998)
- ICAPS, (2009)
- Artificial Intelligence 172(4--5):514--540 (2008)
- J. Web Sem. 9(4):349-364 (2011)
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- J. Web Sem. 9(4):349-364 (2011)
- Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)
- Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)
- Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)
- Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)
- Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)
- Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)
