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Robert L. Williams

dblp:09/188 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › special-purpose processor
direct execution architecture
0.011987
An Architecture for the Direct Execution of the Forth Programming Language · ASPLOS 1987
Processor architecture and microarchitecture
instruction set architecture
0.011987
An Architecture for the Direct Execution of the Forth Programming Language · ASPLOS 1987
Processor architecture and microarchitecture › instruction set architecture › instruction set style
stack architecture
0.011987
An Architecture for the Direct Execution of the Forth Programming Language · ASPLOS 1987
Information retrieval
query reformulation
0.011978
Does Relevance Feedback Improve Document Retrieval Performance? · SIGIR 1978
Information retrieval
relevance feedback
0.011978
Does Relevance Feedback Improve Document Retrieval Performance? · SIGIR 1978
YearPublicationVenuePosition
1987 An Architecture for the Direct Execution of the Forth Programming Language
abstract
We have developed a simple direct execution architecture for a 32 bit Forth microprocessor. The processor can directly access a linear address space of over 4 gigawords. Two instruction types are defined; a subroutine call, and a user defined microcode instruction. On-chip stack caches allow most Forth primitives to execute in a single cycle.
John R. Hayes, Martin E. Fraeman, Robert L. Williams, Thomas Zaremba
ASPLOS3
1978 Does Relevance Feedback Improve Document Retrieval Performance?
abstract
Many authors (1, 2, 3, 5, 6, 7) have suggested that overall performance of a document retrieval system is improved by relevance feedback. Relevance feedback denotes the last three steps in the following process: 1) the searcher enters a query, 2) the system prepares a ranked list of suggested documents, 3) the searcher judges some of the documents for relevancy, 4) the searcher informs the system of these documents judged and of the judgement, 5) the system constructs a new query based on the descriptors used in the original query and the descriptors used in the documents judged, 6) the system prepares a second ranked list of suggested documents.
Robert L. Williams
SIGIR1