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NLPRS
2001
Springer
14 years 6 days ago
A Hierarchical EM Approach to Word Segmentation
We propose a simple two-level hierarchical probability model for unsupervised word segmentation. By treating words as strings composed of morphemes/phonemes which are themselves c...
Fuchun Peng, Dale Schuurmans
WWW
2006
ACM
14 years 8 months ago
Mining clickthrough data for collaborative web search
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
ECIR
2006
Springer
13 years 9 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
CIKM
2008
Springer
13 years 9 months ago
Probabilistic polyadic factorization and its application to personalized recommendation
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang
VLDB
2004
ACM
129views Database» more  VLDB 2004»
14 years 1 months ago
Probabilistic Ranking of Database Query Results
We investigate the problem of ranking answers to a database query when many tuples are returned. We adapt and apply principles of probabilistic models from Information Retrieval f...
Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, ...