[1]李 慧,李存华,王 霞.一种新颖的个性化视频搜索排名算法[J].南京师范大学学报(工程技术版),2008,08(04):182-185.
 L iH u,i L iCunhua,W ang X ia.A Novel Individualized V ideo Search Rank ing Algorithm[J].Journal of Nanjing Normal University(Engineering and Technology),2008,08(04):182-185.
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一种新颖的个性化视频搜索排名算法
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
08卷
期数:
2008年04期
页码:
182-185
栏目:
出版日期:
2008-12-30

文章信息/Info

Title:
A Novel Individualized V ideo Search Rank ing Algorithm
作者:
 李 慧 李存华 王 霞
 淮海工学院计算机工程学院, 江苏连云港222002
Author(s):
L iH ui L iCunhua W ang X ia
Dep artm en t of Com puter Scien ce, Hu aihai Inst itute of Techno logy, L ianyungang 222005, Ch ina
关键词:
 协同过滤 推荐 视频搜索 个性化
Keywords:
co llaborativ e filte ring recomm ender V ideo search indiv iduation
文献标志码:
A
摘要:
视频搜索是目前信息检索领域研究的热点. 提出一种利用协同过滤技术来实现个性化的视频搜索. 该算法根据用户项目兴趣相似度来计算目标项目的得分, 从而为每个用户产生一个推荐列表. 实验结果表明该排名算法较IMDB搜索和Google 搜索的结果在用户满意度上有很明显的提高.
Abstract:
V ideo search is a hotspot in curren t inform ation search ing fie ld. The paper presents a new v ideo search by us ing co llabo ra tive filtering technique to rea lize indiv iduality. The algor ithm com putes the sco res o f the target item s according to the sim ilarity deg ree o f the item s in wh ich the users are interested, and thus generates a recomm endation list for every use r. The experim enta l results show that com pared w ith IMDB sea rch and Goog le sea rch, our a lgo rithm can obta in better rank resu lts and im prove user’ s sa tisfaction high ly.

参考文献/References:

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[ 2] Ba labanov icM, Shoham Y. Fab: content-based, co llaborative recomm endation[ J]. Comm un ica tions o f the ACM, 1997, 40( 3): 66-72.
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[ 4] C laypoo lM, GokhaleA, M iranda T, et a.l Com bining content-based and co llaborative filters in an on line new spaper[ J] . ACM SIGIR W o rkshop on Recomm ender System s, 1999, 30( 3) : 128-136.
[ 5] DeCoste D. Co llaborative pred ic tion using ensem bles of m ax im um m arg in ma tr ix facto rization[ C] / / Proceedings o f the 21st International Con ference onM ach ine Learn ing. New York: ACM, 2006: 249-256.
[ 6] DeshpandeM. Item-based top-n recomm endation a lgor ithm s[ J]. ACM Transactions on Inform ation System s, 2004, 22( 1):143-177.

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备注/Memo

备注/Memo:
 通讯联系人: 李 慧, 硕士研究生, 研究方向: 数据挖掘、智能信息系统. E-m ial:shu fan zs@ 126. com
更新日期/Last Update: 2013-07-22