Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
Extending the boolean and vector space models of information retrieval with p-norm queries and multiple concept types
Length normalization in XML retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Flexible retrieval based on the vector space model
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Dynamic element retrieval in a structured environment
ACM Transactions on Information Systems (TOIS)
Dynamic Element Retrieval in the Wikipedia Collection
Focused Access to XML Documents
| Hi-index | 0.00 |
This paper describes the current state of our system for structured retrieval. The system itself is based on an extension of the vector space model initially proposed by Fox [5]. The basic functions are performed using the Smart experimental retrieval system [10]. The major advance in our system this year is the incorporation of a facility for the dynamic retrieval of elements, which we refer to as flexible retrieval. This approach allows the system to return a rank-ordered list of elements based on a single indexing of the collection at the paragraph level.Lnu term weights [12,13] are generated dynamically along with the elements themselves, thus eliminating the need for propagation. Experimental results using this technique on INEX 2006 data show that it can produce results competitive with those produced by retrieval on an all-element index of the collection (and in fact produces virtually identical results for the new Fetch-and-Browse task). Early relevance feedback results are also reported.