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Stochastic Rank Aggregation
  • 所属机构名称：中国科学院计算技术研究所
  • 会议名称：Uncertainty in Artificial Intelligence(UAI’13)
  • 时间：2013
  • 成果类型：会议
  • 相关项目：基于大规模用户数据的推荐技术研究
作者： Shuzi Niu|Yanyan Lan|Jiafeng Guo|Xueqi Cheng|
同会议论文项目
基于大规模用户数据的推荐技术研究
期刊论文 14 会议论文 24 专利 2
同项目会议论文
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A biterm topic model for short texts
Local Linear Matrix Factorization for Document Modeling
Exploring and Exploiting Proximity Statistic for Information Retrieval Model
Clustering Short Text Using Ncut-weighted Non-negative Matrix Factorization
A New Probabilistic Model for Top-k Ranking Problem
Top-k learning to rank: labeling, ranking and evaluation
Recommending high utility query via session-flow graph
Informational friend recommendation in social media
Learning topics in short texts by non-negative matrix factorization on term correlation matrix
Query recommendation by modelling the query-flow graph
Exploring the query-flow graph with a mixture model for query recommendation
Bipartite Graph Based Entity Ranking for Related Entity Finding
Group sparse topical coding : from code to topic
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-Document Summarization
More Than Relevance: High Utility Query Recommendation By Mining Users' Search Behaviors
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization
Multi-select faceted navigation based on minimum description length principle
Context-aware query recommendation by learning high-order relation in query logs
A unified framework for recommending diverse and relevant queries
Intent-aware query similarity