Talk:Full text search
- Create new articles so that the ugly red links go away.
- Create an information retrieval category and add relevant documents to it.
- Check list of querying techniques to make sure it's complete (it isn't).
- Explain that search engines use varying methods to express boolean operators, etc.
- Incorporate modern information; Alta Vista? All popular search engines today work off the concept of full-text searching. —Preceding unsigned comment added by 22.214.171.124 (talk) 15:45, 15 May 2008 (UTC)
Google's PageRank algorithm is referred to as a search algorithm, but isn't it a relevance ranking algorithm, not a search algorithm? Nurg 01:58, 19 March 2006 (UTC)
- Agree that it is a relevance ranking algorithm, but it is used along with a basic vector-space model in the case of Google to provide a search algorithm. I would rather not make a direct reference though, it would be better to cite citation analysis, citation index, or Bibliometrics. Josh Froelich 14:15, 21 December 2006 (UTC)
AFAIK, MapReduce-based fulltext search as employed by e.g. Google doesn't use a classical fulltext index as described in the article. Rather, it uses massive parallelism to actually scan each document in real time as the search runs (rather than offline when an index is built), finding those that match ("map" stage), and then collects and ranks the results ("reduce" stage). The article makes it sound as if building a fulltext index were the only way to efficiently perform full-text searches over large numbers of documents. Multi io (talk) 02:30, 18 February 2010 (UTC)