{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78792"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78792","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Information retrieval as card playing: a formal model for optimizing interactive retrieval interface","abstract":"We propose a novel formal model for optimizing interactive information retrieval interfaces. To model interactive retrieval in a general way, we frame the task of an interactive retrieval system as to choose a sequence of interface cards to present to the user. At each interaction lap, the system's goal is to choose an interface card that can maximize the expected gain of relevant information for the user while minimizing the effort of the user with consideration of the user's action model and any desired constraints on the interface card. We show that such a formal interface card model can not only cover the Probability Ranking Principle for Interactive Information Retrieval as a special case by making multiple simplification assumptions, but also be used to derive a novel formal interface model for adaptively optimizing navigational interfaces in a retrieval system. Experimental results show that the proposed model and algorithms are effective in automatically generating adaptive navigational interfaces, which outperform the baseline pre-designed static interfaces.","abstract_html":"We propose a novel formal model for optimizing interactive information retrieval interfaces. To model interactive retrieval in a general way, we frame the task of an interactive retrieval system as to choose a sequence of interface cards to present to the user. At each interaction lap, the system&#x27;s goal is to choose an interface card that can maximize the expected gain of relevant information for the user while minimizing the effort of the user with consideration of the user&#x27;s action model and any desired constraints on the interface card. We show that such a formal interface card model can not only cover the Probability Ranking Principle for Interactive Information Retrieval as a special case by making multiple simplification assumptions, but also be used to derive a novel formal interface model for adaptively optimizing navigational interfaces in a retrieval system. Experimental results show that the proposed model and algorithms are effective in automatically generating adaptive navigational interfaces, which outperform the baseline pre-designed static interfaces.","abstract_has_math":false,"creators":["Zhang, Yinan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:46:06Z","date_published":"2015-07-22T22:46:06Z","updated_at":"2026-07-22T22:26:12Z","subjects":["Information Retrieval","Probability Ranking Principle","Interface Card Model"],"languages":["en"],"rights":["Copyright 2015 Yinan Zhang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78792","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Zhang, Yinan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:46:06Z","2017-07-23T09:15:38Z","2015-05","2015-04-28","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Information Retrieval","Probability Ranking Principle","Interface Card Model"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Yinan Zhang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78792"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["We propose a novel formal model for optimizing interactive information retrieval interfaces. To model interactive retrieval in a general way, we frame the task of an interactive retrieval system as to choose a sequence of interface cards to present to the user. At each interaction lap, the system's goal is to choose an interface card that can maximize the expected gain of relevant information for the user while minimizing the effort of the user with consideration of the user's action model and any desired constraints on the interface card. We show that such a formal interface card model can not only cover the Probability Ranking Principle for Interactive Information Retrieval as a special case by making multiple simplification assumptions, but also be used to derive a novel formal interface model for adaptively optimizing navigational interfaces in a retrieval system. Experimental results show that the proposed model and algorithms are effective in automatically generating adaptive navigational interfaces, which outperform the baseline pre-designed static interfaces.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-05-01","The student, Yinan Zhang, accepted the attached license on 2015-04-28 at 11:40.","The student, Yinan Zhang, submitted this Thesis for approval on 2015-04-28 at 11:41.","This Thesis was approved for publication on 2015-04-28 at 13:07.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8147 on 2015-07-22 at 14:26:32","Made available in DSpace on 2015-07-22T22:46:06Z (GMT). No. of bitstreams: 2 ZHANG-THESIS-2015.pdf: 316634 bytes, checksum: a48c6019b92a3be07d820872367e69b6 (MD5) LICENSE.txt: 4208 bytes, checksum: 021db8d04ba056cd0ded938c37dd178b (MD5) Previous issue date: 2015-04-28","Embargo set by: Seth Robbins for item 80033 Lift date: 2017-07-22T22:46:21Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 80033 on 2017-07-23T09:15:38Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Information retrieval as card playing: a formal model for optimizing interactive retrieval interface"]}]}],"canonical_facts":{"dc:creator":["Zhang, Yinan"],"dc:date":["2015-07-22T22:46:06Z","2017-07-23T09:15:38Z","2015-05","2015-04-28","2015-5"],"dc:description":["We propose a novel formal model for optimizing interactive information retrieval interfaces. To model interactive retrieval in a general way, we frame the task of an interactive retrieval system as to choose a sequence of interface cards to present to the user. At each interaction lap, the system's goal is to choose an interface card that can maximize the expected gain of relevant information for the user while minimizing the effort of the user with consideration of the user's action model and any desired constraints on the interface card. We show that such a formal interface card model can not only cover the Probability Ranking Principle for Interactive Information Retrieval as a special case by making multiple simplification assumptions, but also be used to derive a novel formal interface model for adaptively optimizing navigational interfaces in a retrieval system. Experimental results show that the proposed model and algorithms are effective in automatically generating adaptive navigational interfaces, which outperform the baseline pre-designed static interfaces.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-05-01","The student, Yinan Zhang, accepted the attached license on 2015-04-28 at 11:40.","The student, Yinan Zhang, submitted this Thesis for approval on 2015-04-28 at 11:41.","This Thesis was approved for publication on 2015-04-28 at 13:07.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8147 on 2015-07-22 at 14:26:32","Made available in DSpace on 2015-07-22T22:46:06Z (GMT). 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