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<table border="0" cellpadding="3" cellspacing="1" width="100%" class="forumline"> <tr> <th class="thCornerL" width="22%" height="26">Autor</th> <th class="thCornerR">Wiadomość</th> </tr> <tr> <td width="22%" align="left" valign="top" class="row1"><span class="name"><a name=""></a><b>lin22307</b></span></td> <td class="row1" height="28" valign="top"><table width="100%" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="100%"><img src="http://picsrv.fora.pl/xeon/images/icon_minipost.gif" width="12" height="9" alt="Post" title="Post" border="0" /><span class="postdetails">Wysłany: Sob 6:55, 09 Kwi 2011<span class="gen"> </span> Temat postu: mbt laarzen Apriori algorithm is an improved refer</span></td> </tr> <tr> <td colspan="2"><hr /></td> </tr> <tr> <td colspan="2"><span class="postbody">An improved Apriori algorithm in the library of recommended services <br /> <br /> <br />book34l arsenic ok1. book34b, k2. book3book1. book4llJ0ok1. book54b (k1.Imok2. book4beok1.book54I Ⅲ k2.book337l '00k1. book3.bl ~, k5book2.book33book2.Irook42llook1.t ~, ok3.I ~ ook5book2.book42l ~ mk2, book52book3.book4book2.IMJ0k52book3, book53hook1.Imok2I ~ ook3, book5Imk3, book53Rtmok1.1 ~ ook2.b ~ ok3book4.hk50hemssupbook1.book2.book41l, ook1.Irook2.book32lItemssupbook1.book2.I ~ ok52lbookI, book2.book42l Bu l ~ ook2.book3.book4Olbookl,<a href="http://www.mbtlaarzen.com" target="_blank" class="postlink">mbt laarzen</a>, book2,<a href="http://www.nikehighheels.org/air-jordan-high-heels" target="_blank" class="postlink">air jordan high heels</a>, book52l ~ ook2.book3. book5lbook3.book4.I ~ ok5O Figure 3, the improved Apriori algorithm instance Figure recommended referral service in the digital library service is very important ,<a href="http://www.belstaffespana.net/belstaff-bolsas" target="_blank" class="postlink">belstaff bolsas</a>, on the one hand can enhance the reader's satisfaction, on the other hand can be a better consumer information . Books recommended by the dynamic , active information recommended mode ,<a href="http://www.mbtchaussure.org/mbt-hommes" target="_blank" class="postlink">mbt hommes</a>, to avoid the traditional book lending system,<a href="http://www.ghdoutletitalia.com" target="_blank" class="postlink">ghd piastra</a>, static, passive provision of information to let the library information services more intelligent. recommender system records information by mining the user to borrow , to find information on association rules , For other users. In this , each reader is not only a provider of information resources to borrow , but also the loan information resources to consumers, to better reflect the digital library to bring the easier and faster. 4 Conclusion personality Digital library service is the inevitable trend of development is to enhance the core competitiveness of University Digital Library of the key . article analyzes and improved Apriori algorithm, the algorithm introduced ApriorJ recommended model of digital library services , will improve the Apri. ri algorithm Referral service towels applied to the library . According to data in the database borrowing and improved Apriori algorithm for association rules are books and books based on malfeasance by the conduct recommended for digital libraries to the personalized, intelligent direction played some guidance Effect. <br /> More articles related to topics： <br /> <br /> <br /> <a href="http://www.hao889.com/plus/view.php?aid=59733" target="_blank" class="postlink">mbt schoenen Guanidine _3688</a> <br /> <br /> <a href="http://forum.gcpnews.com/viewtopic.php?p=130942#130942" target="_blank" class="postlink">Belstaff España Analysis of the Chinese Question C</a> <br /> <br /> <a href="http://blog.cersp.com/index/1732960.jspx?articleId=18940555" target="_blank" class="postlink">Elastic-plastic dynamic buckling of cylindrical shells Computer Simulation _5084</a></span></td> </tr> </table></td> </tr> <tr> <td colspan="2" height="1" class="spaceRow"><img src="http://picsrv.fora.pl/xeon/images/spacer.gif" alt="" width="1" height="1" /></td> </tr> </table>
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