Comments on: How Search Really Works: Relevance (2) – Vector Space https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html?utm_source=feed&utm_medium=feed&utm_campaign=feed Canada's Search and Social Media Authority Wed, 08 May 2013 19:34:32 +0000 hourly 1 By: Malte Landwehr https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html/comment-page-1#comment-1469 Wed, 16 Apr 2008 21:06:29 +0000 https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html#comment-1469 An excellent analysis of how to weight terms by their frequency. But I doubt that the two dimensional space is enough to represent the complexity needed to maintain an index of millions of documents.

]]> By: Dev Basu https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html/comment-page-1#comment-1470 Mon, 14 Apr 2008 21:22:14 +0000 https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html#comment-1470 As usual Ruud this is a great post. It’s always interesting to learn the inner workings of an SE 🙂

]]> By: Hamlet Batista https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html/comment-page-1#comment-1472 Fri, 11 Apr 2008 22:08:39 +0000 https://www.searchenginepeople.com/blog/how-search-really-works-relevance-2-vector-space.html#comment-1472 Hi Rudd,

Excellent post as usual. It is important to mention that vector space model for ranking is not currently practical for the top search engines due to the size of their index (and the corresponding size of the document vectors). While they use huge matrices for computing the importance of the links (PageRank), the process is done offline and is query-independent. Computing such vectors are query time would be prohibitively expensive in times and resources.

Cheers

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