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- Q7353708 abstract "The Rocchio algorithm is based on a method of relevance feedback found in information retrieval systems which stemmed from the SMART Information Retrieval System around the year 1970. Like many other retrieval systems, the Rocchio feedback approach was developed using the Vector Space Model. The algorithm is based on the assumption that most users have a general conception of which documents should be denoted as relevant or non-relevant. Therefore, the user's search query is revised to include an arbitrary percentage of relevant and non-relevant documents as a means of increasing the search engine's recall, and possibly the precision as well. The number of relevant and non-relevant documents allowed to enter a query is dictated by the weights of the a, b, c variables listed below in the Algorithm section.".
- Q7353708 wikiPageExternalLink lec7.html.
- Q7353708 wikiPageExternalLink 09expand.pdf.
- Q7353708 wikiPageExternalLink 14vcat.pdf.
- Q7353708 wikiPageWikiLink Q11210.
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- Q7353708 wikiPageWikiLink Q7391070.
- Q7353708 wikiPageWikiLink Q816826.
- Q7353708 wikiPageWikiLink Q836.
- Q7353708 wikiPageWikiLink Q8366.
- Q7353708 wikiPageWikiLink Q847073.
- Q7353708 comment "The Rocchio algorithm is based on a method of relevance feedback found in information retrieval systems which stemmed from the SMART Information Retrieval System around the year 1970. Like many other retrieval systems, the Rocchio feedback approach was developed using the Vector Space Model. The algorithm is based on the assumption that most users have a general conception of which documents should be denoted as relevant or non-relevant.".
- Q7353708 label "Rocchio algorithm".