網(wǎng)絡(luò)社區(qū)信息搜索技術(shù)

1、復(fù)旦大學(xué)碩士學(xué)位論文網(wǎng)絡(luò)社區(qū)信息搜索技術(shù)姓名：王智斌申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)軟件與理論指導(dǎo)教師：施伯樂20080531給出了基于改進(jìn)后的信息檢索方法的算法。實(shí)驗(yàn)結(jié)果表明，該方法能明顯的提高搜索質(zhì)量，并對(duì)實(shí)驗(yàn)結(jié)果進(jìn)行了分析證明本文方法的有效性。(3)提出了一種新的網(wǎng)絡(luò)社區(qū)搜索方法框架并實(shí)現(xiàn)了原型。關(guān)鍵詞：互聯(lián)網(wǎng)在線社區(qū)搜索專家程度中圖分類號(hào)：TP39ABSTRACTAscybercommunitiesboomontheInterne

2、t，moreandmoreinformationappearontheWrebDuetotheconvenienceofWeb，traditionalmediaandsoeialcommunitiesstarttoputthemselvesintoImemetandmoreofthemnOWappearondynamicpageslikenewsgroups，forumsandblogsinsteadofearlystaticonesU

3、ndertheeffortsofmilliomofpeople，theknowledgeonwebissoaril略dayafterdayPeoplecansearchandlearnknowledgefromInteract，sosearchingusefulandreliableinformationincommunitiessuchasforums，newsgroupsandblogsisbecomingamoreandmorei

4、mportanttaskAsthediversityofnetworkcommunityarchitecture，hugeamountofdataandlargeproportionofnoisydatahowtoquicklyfindinformationweneedbecomesahotresearchtopic們鹼problemofsearchingnetworkis：givenuserquerystring，forallthei

5、nformationontheIntemet，wemeasureitsrelativevalueofthe嘲queryandreturnthemostrelativeonestotheuser鷦quicklyaspossibleAsthespeedofvisitingnetworkdataismuchslowerthanvisitinglocaldataWecan’titeratealldataonthewebperqueryNetwo

6、rksearchisuserorientedthequeryresultsqualityandresponsetimealeallveryimportant，80thesolutionofnetworksearchalwaysseparatedinthreephases：crawlingdatatolocalstorage，indexingdataquerydatausingindexInourpaperweputfocusonthet

7、hirdone；weproposedamethodtoimprovesearchresultqualitythroughminingeachcommunityusersknowledgeprofdeMostexistinginformationretrievalsystemswhichperformwellondocumentcollectionsandinterconnectedwebpagesdonotfitsuchtaskwelL

8、Forexample，popularIntemetsearchmethodssuch嬲HITSandPageRankrelyonthelinkstructureofwebpageswhichisoi!tenabsentinthepostingsofcybercommunitiesTraditionalstatisticalinformationretrievalmethodswhichtreatthedata舔documentscomp