欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
会议
> 会议详情页
Guess What You Will Cite: Personalized Citation Recommendation Based on Users’ Preference
所属机构名称:北京大学
会议名称:AIRS
时间:2013
成果类型:会议
相关项目:社交文本流中的实时事件监测和摘要
作者:
Ya'ning Liu|Rui Yan|Hongfei Yan|
同会议论文项目
社交文本流中的实时事件监测和摘要
期刊论文 5
会议论文 23
著作 2
同项目会议论文
A novel burst-based text representation model for scalable event detection
Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Inten
Using lexical and thematic knowledge for name disambiguation
Comparing Twitter and Traditional Media Using Topic Models
基于用户偏好与语言模型的个性化引文推荐(推荐到《中文信息学报》发表)
利用维基百科实体增强基于图的多文档摘要(推荐到《中文信息学报》发表)
网络游戏案例研究:用户行为分析和流失预测(推荐到《中文信息学报》发表)
Recommending citations with translation model
Topical keyphrase extraction from Twitter
Efficiently collecting relevance information from clickthroughs for web retrieval system evaluation
Tweet recommendation with graph co-ranking
Hierarchical topic integration through semi-supervised hierarchical topic modeling
SSHLDA: A semi-supervised hierarchical topic model
SizeSpotSigs: An effective deduplicate algorithm considering the size of page content
Group-Scheme: A Universal SIMD-based Compression Scheme
基于指令级并行的倒排索引压缩算法(推荐到《计算机研究与发展》发表)
Summarize what you are interested in: An optimization framework for Interactive Personalized Summari
Optimized Top-k processing with global page scores on Block-Max indexes
EventSearch: A system for event discovery and retrieval on multi-type historical data
Efficient phrase querying with flat position index
Automatic labeling hierarchical topics
A metric learning based approach to evaluate task-specific time series similarity