Compares two methods of information retrieval--one that rates documents according to a query and another that uses relevant documents to find further relevant documents (i.e., neighboring documents). Highlights include experiments at the National Library of Medicine; feedback; vector cosine retrieval; and a measure of retrieval effectiveness…

Explores similarities or dissimilarities between citation-semantic and analytic indexing based on a study of records in the Science Citation Index and MEDLINE databases on antibiotic resistance in pneumonia. Concludes that disparate indexing terms may be an advantage for better recall and precision in information retrieval. (Contains 42…

Content-based image retrieval is based on the idea of extracting visual features from images and using them to index images in a database. Proposes similarity measures and an indexing algorithm based on information theory that permits an image to be represented as a single number. When used in conjunction with vectors, this method displays…

Describes the design of an information retrieval system that permits the personalization of a search by developing a user profile in order to reduce noise and increase the number of relevant items retrieved. The preorientation system is explained and an example using full-text natural language processing tools is presented. (Author/LRW)

Discusses methods to be used in an adaptive filtering task, in which incoming documents are routed to users according to stored profiles. Highlights include decision thresholds to help in the retrieval decision; probability of relevance; calibration and logistic regression; feedback; and examples in the Okapi text retrieval system. (LRW)

Investigates the combination of terms and document weighting functions in information retrieval. Describes weighting functions based on how information is used within documents and collections and uses them in two types of experiments: one based on combination of evidence for ad hoc retrieval, and one within a relevance feedback situation.…

We propose that the design and implementation of effective "Social Learning Analytics (SLA)" present significant challenges and opportunities for both research and enterprise, in three important respects. The first is that the learning landscape is extraordinarily turbulent at present, in no small part due to technological drivers.…

Learning Analytics can provide powerful tools for teachers in order to support them in the iterative process of improving the effectiveness of their courses and to collaterally enhance their students' performance. In this paper, we present the theoretical background, design, implementation, and evaluation details of eLAT, a Learning Analytics…

Discussion of access methods and information retrieval algorithms focuses on the vertical counting approach. Determines the speedup gained from using the Hamming Distance Bit Vertical counter, evaluates the parameters that influence the speedup, and discusses the point that makes the vertical approach faster than the horizontal approach.…

Proposes a method to improve the performance of information retrieval systems by expanding queries using heterogeneous thesauri. Experiments show that using heterogeneous thesauri with an appropriate weighting method results in better retrieval performance than using only one type of thesaurus. (Author/LRW)

Discusses compression of databases that reduces space requirements and retrieval times; considers compression of documents in text databases based on semistatic modeling with words; and proposes a scheme for general purpose compression that can be applied to all types of data stored in large collections. (Author/LRW)

Describes a model of an information retrieval system that is based on a document re-ranking method, using document clusters. Retrieves documents based on the inverted file method, then analyzes the retrieved documents using document clusters and re-ranks them. Shows significant improvements over the method based on similarity search ranking alone.…

Discusses XML and information retrieval and describes a query language, ELIXIR (expressive and efficient language for XML information retrieval), with a textual similarity operator that can be used for similarity joins. Explains the algorithm for answering ELIXIR queries to generate intermediate relational data. (Author/LRW)

Discussion of information retrieval focuses on the use of binary trees and how to compact it to use less memory and take less time. Explains retrieval algorithms and describes data structure and hierarchical structure. (LRW)

Hardware and software filters, which sift through keywords placed in Internet search engines and online databases, work to limit the return of information from these sources. By their very purpose, filters exist to decrease the amount of information researchers can access. The purpose of this study is to gain insight into the perceptions key…