Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our pr...
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
In the context of web search engines, the escalation between ranking techniques and spamdexing techniques has led to the appearance of faked contents in web pages. If random sequen...
Abstract. Searching for information in large rather unstructured realworld data sets is a dicult task, because the user expects immediate responses as well as high-quality search ...
Nils Weber, Lars Braubach, Alexander Pokahr, Winfr...