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…

Describes the changes scientific abstracting and indexing services are making to develop new production systems for a marketplace which is influenced by the information superhighway and the demand for information in an electronic format. Descriptions are included of computer system and data input changes implemented by several database producers…