http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103761237-A

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filingDate 2013-12-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e86ea76a2f95a10edd8c8fbfd1943ee8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a722d599b9b370f6e0f8705ea08f05fb
publicationDate 2014-04-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-103761237-A
titleOfInvention Collaborative filtering recommending method based on characteristics and credibility of users
abstract The invention discloses a collaborative filtering recommending method based on the characteristics and credibility of users. The collaborative filtering recommending method based on the characteristics and credibility of the users comprises the following steps: respectively computing similarity between users according to the historical evaluating scores of users to a project and characteristics of the users; selecting proper weight to combine two kinds of similarity to obtain the finial similarity among the users; computing the nearest neighbor of the user according to KNN (K Nearest Neighbors) method; using the quantity of historical evaluating scores of the users as the credibility, and computing a recommending result by using the nearest neighbor matrix of the user and a predictor formula added with the credibility.
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Total number of triples: 46.