Search results
Results from the WOW.Com Content Network
The Rocchio algorithm is based on a method of relevance feedback found in information retrieval systems which stemmed from the SMART Information Retrieval System developed between 1960 and 1964. Like many other retrieval systems, the Rocchio algorithm was developed using the vector space model .
Relevance feedback is a feature of some information retrieval systems. The idea behind relevance feedback is to take the results that are initially returned from a given query, to gather user feedback , and to use information about whether or not those results are relevant to perform a new query.
Rocchio proposed to judge manually some of the retrieved documents and use this feedback information to expand the query. Since collecting users' judgment can be challenging, only the first top retrieved documents are considered as relevant. This is the so called pseudo-relevance feedback (PRF). [6]
Once relevance levels have been assigned to the retrieved results, information retrieval performance measures can be used to assess the quality of a retrieval system's output. In contrast to this focus solely on topical relevance, the information science community has emphasized user studies that consider user relevance. [ 3 ]
Prior to signing the bill, Biden touted the importance of Social Security benefits for working class Americans and said he was "proud to have played a small part in this fight and get to sign it."
Heart disease is the No. 1 cause of death in the U.S. Yet, according to the American Heart Association, half of Americans are unaware of this sobering statistic. The good news is that a diet ...
The scents of cinnamon and star anise add big flavors to this quick soup. Butter adds body and a silky texture. Fresh udon noodles take only a few minutes to cook, but dry udon noodles work well ...
Rocchio Classification. In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean is closest to the observation.