As the amount of information increases every day and the users normally formulate short
and ambiguous queries, personalized search techniques are becoming almost a must …

文本文档信息检索中检索质量不高的一个主要原因是用户难以提出准确的描述查询意图的查询
表达式. 而XML 文档除了具有文本文档的内容特征外, 还具有结构特征, 导致用户更难以提出 …

Keyword-based queries are an important means to retrieve information from XML collections
with unknown or complex schemas. Relevance Feedback integrates relevance information …

Relevance Feedback is an important way to enhance retrieval quality by integrating
relevance information provided by a user. In XML retrieval, feedback engines usually …

This paper describes an efficient method to construct reliable machine learning applications
in peer-to-peer (P2P) networks by building ensemble based meta methods. We consider this …

Keyword-based queries are an important means to retrieve information from XML collections
with unknown or complex schemas. Relevance Feedback integrates relevance information …

Résumé Les travaux de cette thèse s' intéressent à la reformulation de requêtes par
réinjection de pertinence dans les documents semi-structurés de type XML, en utilisant …

The structural features of XML components are an extra source of information that should be
used in a content-oriented retrieval task on this type of documents. In this paper we explore …

Rapid advances in electronic and computer technology have ushered in what we call an
age of information. The exponential growth of the Internet and the Web has flooded us with …