{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/101229"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/101229","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"CLAIRE: A cloud-based lab for information retrieval","abstract":"Over the past decades, information retrieval has been widely studied due to its importance in people’s everyday life. However, how to train students with assignments using large- scale real-world datasets is a significant challenge. In this thesis, we address this challenge by proposing CLAIRE, a novel cloud-based virtual lab which is beneficial to Information Retrieval (IR) educators, learners and researchers. Following the common routine of learning or conducting research on IR models, CLAIRE provides support in three key phases. In the phase of implementation, CLAIRE provides an interactive way to create new IR models from scratch as well as from existing parameterized models. It then offers the environment for evaluating these IR models over real-world datasets without having to move around the large- size datasets. With the tightly connected implementation and evaluation phases, CLAIRE further enables the analysis of performances of different IR models, including parameter sensitivity analysis and query-wise comparison. Models can also be instantly turned into a search engine application. Leveraging the scaling power of CLaDS[1], CLAIRE is further capable of supporting tasks that involve large datasets conducted by a large number of users at a relatively low cost.","abstract_html":"Over the past decades, information retrieval has been widely studied due to its importance in people’s everyday life. However, how to train students with assignments using large- scale real-world datasets is a significant challenge. In this thesis, we address this challenge by proposing CLAIRE, a novel cloud-based virtual lab which is beneficial to Information Retrieval (IR) educators, learners and researchers. Following the common routine of learning or conducting research on IR models, CLAIRE provides support in three key phases. In the phase of implementation, CLAIRE provides an interactive way to create new IR models from scratch as well as from existing parameterized models. It then offers the environment for evaluating these IR models over real-world datasets without having to move around the large- size datasets. With the tightly connected implementation and evaluation phases, CLAIRE further enables the analysis of performances of different IR models, including parameter sensitivity analysis and query-wise comparison. Models can also be instantly turned into a search engine application. Leveraging the scaling power of CLaDS[1], CLAIRE is further capable of supporting tasks that involve large datasets conducted by a large number of users at a relatively low cost.","abstract_has_math":false,"creators":["Jiang, Bingjie"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Zhai, ChengXiang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-04T20:36:55Z","date_published":"2018-09-04T20:36:55Z","updated_at":"2026-07-22T22:24:38Z","subjects":["Information Retrieval","Virtual Lab"],"languages":["en"],"rights":["Copyright 2018 Bingjie Jiang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/101229","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Zhai, ChengXiang"]},{"key":"dc:creator","label":"Author","values":["Jiang, Bingjie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-09-04T20:36:55Z","2020-09-05T09:15:20Z","2018-04-26","2018-05"]},{"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","Virtual Lab"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Bingjie Jiang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/101229"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Over the past decades, information retrieval has been widely studied due to its importance in people’s everyday life. However, how to train students with assignments using large- scale real-world datasets is a significant challenge. In this thesis, we address this challenge by proposing CLAIRE, a novel cloud-based virtual lab which is beneficial to Information Retrieval (IR) educators, learners and researchers. Following the common routine of learning or conducting research on IR models, CLAIRE provides support in three key phases. In the phase of implementation, CLAIRE provides an interactive way to create new IR models from scratch as well as from existing parameterized models. It then offers the environment for evaluating these IR models over real-world datasets without having to move around the large- size datasets. With the tightly connected implementation and evaluation phases, CLAIRE further enables the analysis of performances of different IR models, including parameter sensitivity analysis and query-wise comparison. Models can also be instantly turned into a search engine application. Leveraging the scaling power of CLaDS[1], CLAIRE is further capable of supporting tasks that involve large datasets conducted by a large number of users at a relatively low cost.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01","The student, Bingjie Jiang, accepted the attached license on 2018-04-25 at 17:06.","The student, Bingjie Jiang, submitted this Thesis for approval on 2018-04-25 at 17:11.","This Thesis was approved for publication on 2018-04-26 at 13:18.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12502 on 2018-08-31 at 17:21:32","Made available in DSpace on 2018-09-04T20:36:55Z (GMT). No. of bitstreams: 2 JIANG-THESIS-2018.pdf: 1538703 bytes, checksum: c84416d3a0ed5455752e3ecff6fa5e2d (MD5) LICENSE.txt: 4210 bytes, checksum: e147e8d57bea8d773ce860a98f4aba79 (MD5) Previous issue date: 2018-04-26","Embargo set by: Seth Robbins for item 107313 Lift date: 2020-09-04T20:37:00Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 107313 Lift date: 2020-09-04T20:42:08Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107313 on 2020-09-05T09:15:20Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["CLAIRE: A cloud-based lab for information retrieval"]}]}],"canonical_facts":{"dc:contributor":["Zhai, ChengXiang"],"dc:creator":["Jiang, Bingjie"],"dc:date":["2018-09-04T20:36:55Z","2020-09-05T09:15:20Z","2018-04-26","2018-05"],"dc:description":["Over the past decades, information retrieval has been widely studied due to its importance in people’s everyday life. However, how to train students with assignments using large- scale real-world datasets is a significant challenge. In this thesis, we address this challenge by proposing CLAIRE, a novel cloud-based virtual lab which is beneficial to Information Retrieval (IR) educators, learners and researchers. Following the common routine of learning or conducting research on IR models, CLAIRE provides support in three key phases. In the phase of implementation, CLAIRE provides an interactive way to create new IR models from scratch as well as from existing parameterized models. It then offers the environment for evaluating these IR models over real-world datasets without having to move around the large- size datasets. With the tightly connected implementation and evaluation phases, CLAIRE further enables the analysis of performances of different IR models, including parameter sensitivity analysis and query-wise comparison. Models can also be instantly turned into a search engine application. Leveraging the scaling power of CLaDS[1], CLAIRE is further capable of supporting tasks that involve large datasets conducted by a large number of users at a relatively low cost.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01","The student, Bingjie Jiang, accepted the attached license on 2018-04-25 at 17:06.","The student, Bingjie Jiang, submitted this Thesis for approval on 2018-04-25 at 17:11.","This Thesis was approved for publication on 2018-04-26 at 13:18.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12502 on 2018-08-31 at 17:21:32","Made available in DSpace on 2018-09-04T20:36:55Z (GMT). No. of bitstreams: 2 JIANG-THESIS-2018.pdf: 1538703 bytes, checksum: c84416d3a0ed5455752e3ecff6fa5e2d (MD5) LICENSE.txt: 4210 bytes, checksum: e147e8d57bea8d773ce860a98f4aba79 (MD5) Previous issue date: 2018-04-26","Embargo set by: Seth Robbins for item 107313 Lift date: 2020-09-04T20:37:00Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 107313 Lift date: 2020-09-04T20:42:08Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107313 on 2020-09-05T09:15:20Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/101229"],"dc:language":["en"],"dc:rights":["Copyright 2018 Bingjie Jiang"],"dc:subject":["Information Retrieval","Virtual Lab"],"dc:title":["CLAIRE: A cloud-based lab for information retrieval"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:38Z"}