This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
In this paper we describe a Cross Document Summarizer XDoX designed specifically to summarize large document sets (50-500 documents and more). Such sets of documents are typically...
This paper reports on the user-centered design methodology and techniques used for the elicitation of user requirements and how these requirements informed the first phase of the ...
Preben Hansen, Daniela Petrelli, Jussi Karlgren, M...
This work proposes a model for video retrieval based upon the inference network model. The document network is constructed using video metadata encoded using MPEG-7 and captures i...
This paper gives an overview of the evaluation method used for the Web Retrieval Task in the Third NTCIR Workshop, which is currently in progress. In the Web Retrieval Task, we tr...
Koji Eguchi, Keizo Oyama, Emi Ishida, Kazuko Kuriy...
This paper describes a question answering system that is designed to capitalize on the tremendous amount of data that is now available online. Most question answering systems use ...
Susan T. Dumais, Michele Banko, Eric Brill, Jimmy ...
Two popular webpage ranking algorithms are HITS and PageRank. HITS emphasizes mutual reinforcement between authority and hub webpages, while PageRank emphasizes hyperlink weight n...
Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hon...
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
We compare standard global IR searching with user-centric localized techniques to address the database selection problem. We conduct a series of experiments to compare the retriev...