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   Multiangle social network recommendation algorithms and similarity network evaluation  
   
نویسنده hu j. ,gao z. ,pan w.
منبع journal of applied mathematics - 2013 - دوره : 2013 - شماره : 0
چکیده    Multiangle social network recommendation algorithms (msn) and a new assessment method,called similarity network evaluation (sne),are both proposed. from the viewpoint of six dimensions,the msn are classified into six algorithms,including user-based algorithm from resource point (ubr),user-based algorithm from tag point (ubt),resource-based algorithm from tag point (rbt),resource-based algorithm from user point (rbu),tag-based algorithm from resource point (tbr),and tag-based algorithm from user point (tbu). compared with the traditional recall/precision (rp) method,the sne is more simple,effective,and visualized. the simulation results show that tbr and ubr are the best algorithms,rbu and tbu are the worst ones,and ubt and rbt are in the medium levels. © 2013 jinyu hu et al.
آدرس department of biostatistics and computational biology,university of rochester,rochester, United States, faculty of engineering and environment,northumbria university,newcastle upon tyne, United Kingdom, department of biostatistics and computational biology,university of rochester,rochester, United States
 
     
   
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