Matches in SemOpenAlex for { <https://semopenalex.org/work/W1963586751> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W1963586751 endingPage "17" @default.
- W1963586751 startingPage "4" @default.
- W1963586751 abstract "Personal information agents monitor ongoing user information accesses in order to provide users with context-relevant information. Providing the needed information requires effective methods for identifying the user's task context, based on available information. For user browsing tasks, one approach to context identification is to extract context-determining terms from the documents that the user consults. The thesis of this article is (1) that term extraction for personal information agents can be done by learning terms whose occurrence frequencies have a large variance over time, (2) that indexing and retrieval based on these terms can be at least as effective as standard information retrieval techniques, and (3) that this information can be learned without comprehensive corpus analysis, making it suitable for use in personal information retrieval.We have developed an unsupervised term extraction algorithm, WordSieve, that learns individualized context-differentiating terms for document indexing and retrieval. This article presents a new version of WordSieve, compares its design and performance to our initial approach, and assesses its effectiveness for a controlled personal information retrieval task, compared to three common indexing techniques requiring statistics about the global corpus. In the experiments, the new version of WordSieve generates task-relevant indices of comparable or better quality to common indexing techniques, using only local information." @default.
- W1963586751 created "2016-06-24" @default.
- W1963586751 creator A5048427371 @default.
- W1963586751 creator A5068376299 @default.
- W1963586751 date "2003-09-01" @default.
- W1963586751 modified "2023-10-12" @default.
- W1963586751 title "Detecting context-differentiating terms using competitive learning" @default.
- W1963586751 cites W2042221698 @default.
- W1963586751 cites W2049727806 @default.
- W1963586751 cites W2060000600 @default.
- W1963586751 cites W2086051332 @default.
- W1963586751 cites W2157036429 @default.
- W1963586751 doi "https://doi.org/10.1145/959258.959259" @default.
- W1963586751 hasPublicationYear "2003" @default.
- W1963586751 type Work @default.
- W1963586751 sameAs 1963586751 @default.
- W1963586751 citedByCount "5" @default.
- W1963586751 crossrefType "journal-article" @default.
- W1963586751 hasAuthorship W1963586751A5048427371 @default.
- W1963586751 hasAuthorship W1963586751A5068376299 @default.
- W1963586751 hasConcept C116834253 @default.
- W1963586751 hasConcept C151730666 @default.
- W1963586751 hasConcept C154945302 @default.
- W1963586751 hasConcept C161156560 @default.
- W1963586751 hasConcept C162324750 @default.
- W1963586751 hasConcept C187736073 @default.
- W1963586751 hasConcept C195807954 @default.
- W1963586751 hasConcept C23123220 @default.
- W1963586751 hasConcept C2779343474 @default.
- W1963586751 hasConcept C2780451532 @default.
- W1963586751 hasConcept C41008148 @default.
- W1963586751 hasConcept C59822182 @default.
- W1963586751 hasConcept C75165309 @default.
- W1963586751 hasConcept C86803240 @default.
- W1963586751 hasConceptScore W1963586751C116834253 @default.
- W1963586751 hasConceptScore W1963586751C151730666 @default.
- W1963586751 hasConceptScore W1963586751C154945302 @default.
- W1963586751 hasConceptScore W1963586751C161156560 @default.
- W1963586751 hasConceptScore W1963586751C162324750 @default.
- W1963586751 hasConceptScore W1963586751C187736073 @default.
- W1963586751 hasConceptScore W1963586751C195807954 @default.
- W1963586751 hasConceptScore W1963586751C23123220 @default.
- W1963586751 hasConceptScore W1963586751C2779343474 @default.
- W1963586751 hasConceptScore W1963586751C2780451532 @default.
- W1963586751 hasConceptScore W1963586751C41008148 @default.
- W1963586751 hasConceptScore W1963586751C59822182 @default.
- W1963586751 hasConceptScore W1963586751C75165309 @default.
- W1963586751 hasConceptScore W1963586751C86803240 @default.
- W1963586751 hasIssue "2" @default.
- W1963586751 hasLocation W19635867511 @default.
- W1963586751 hasOpenAccess W1963586751 @default.
- W1963586751 hasPrimaryLocation W19635867511 @default.
- W1963586751 hasRelatedWork W1976265003 @default.
- W1963586751 hasRelatedWork W1996563233 @default.
- W1963586751 hasRelatedWork W2016473205 @default.
- W1963586751 hasRelatedWork W2028546017 @default.
- W1963586751 hasRelatedWork W2054476758 @default.
- W1963586751 hasRelatedWork W2188505374 @default.
- W1963586751 hasRelatedWork W2370378377 @default.
- W1963586751 hasRelatedWork W2389273994 @default.
- W1963586751 hasRelatedWork W3024364549 @default.
- W1963586751 hasRelatedWork W4206019083 @default.
- W1963586751 hasVolume "37" @default.
- W1963586751 isParatext "false" @default.
- W1963586751 isRetracted "false" @default.
- W1963586751 magId "1963586751" @default.
- W1963586751 workType "article" @default.