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Scinet: Interactive intent modeling for information discovery

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoSIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
KustantajaAssociation for Computing Machinery, Inc
Sivut1043-1044
Sivumäärä2
ISBN (elektroninen)9781450336215
DOI - pysyväislinkit
TilaJulkaistu - 9 elokuuta 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015 - Santiago, Chile
Kesto: 9 elokuuta 201513 elokuuta 2015

Conference

Conference38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015
MaaChile
KaupunkiSantiago
Ajanjakso9/08/1513/08/15

Tiivistelmä

Current search engines offer limited assistance for exploration and information discovery in complex search tasks. Instead, users are distracted by the need to focus their cognitive efforts on finding navigation cues, rather than selecting relevant information. Interactive intent modeling enhances the human information exploration capacity through computational modeling, visualized for interaction. Interactive intent modeling has been shown to increase task-level information seeking performance by up to 100%. In this demonstration, we showcase SciNet, a system implementing interactive intent modeling on top of a scientific article database of over 60 million documents.

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