An incremental model on search engine query recommendation
文献类型:期刊论文
作者 | JianGuo Wang; Joshua Zhexue Huang; Dingming Wu; JiaFeng Guo; Yanyan Lan |
刊名 | Neurocomputing
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出版日期 | 2016 |
英文摘要 | Search enginequeryrecommendationbasedonminingquerylogshasbeenconsideredasanimportant and usefulmethodoffacilitatinguserstoretrieveinformation.However,thelogdataevolvesquickly. Existing queryrecommendationapproacheshavetorebuildthemodelswhennewlogdataarrive.Inthis paper,weextendthequeryrankingmodel(QRM)proposedinourpreviouswork(Wangetal.,2015) [1] to anadaptivemodelinwhichnewcominglogdataisincrementallyadded,sothattherecommendation model iskeptup-to-date.Theexperimentalresultshavedemonstratedthattheproposedincremental queryrankingmodel(IQRM)isabletorecommendqueriesmoreefficiently thanre-buildingQRMon evolvinglogdatawithoutlosingaccuracy. |
收录类别 | SCI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/10274] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | Neurocomputing |
推荐引用方式 GB/T 7714 | JianGuo Wang,Joshua Zhexue Huang,Dingming Wu,et al. An incremental model on search engine query recommendation[J]. Neurocomputing,2016. |
APA | JianGuo Wang,Joshua Zhexue Huang,Dingming Wu,JiaFeng Guo,&Yanyan Lan.(2016).An incremental model on search engine query recommendation.Neurocomputing. |
MLA | JianGuo Wang,et al."An incremental model on search engine query recommendation".Neurocomputing (2016). |
入库方式: OAI收割
来源:深圳先进技术研究院
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