Describes an approximate document ranking process that uses a compact array of in-memory, low-precision approximations for document length. Combined with another rule for reducing the memory required by partial similarity accumulators, the approximation heuristic allows the ranking of large document collections using less than one byte of memory…

This report provides a brief history of the design and development process that the Syracuse University Kellogg Project followed in creating the Kellogg Library and Archive Retrieval System (KLARS), an information storage and retrieval system designed to computerize archival research. This system was developed to preserve, organize, and facilitate…