{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/114014"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/114014","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Estimation of intrinsic parameters in crowdsourcing problems","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","abstract_has_math":false,"creators":["Zhang, Yichi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Shomorony, Ilan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-04-29T21:46:20Z","date_published":"2022-04-29T21:46:20Z","updated_at":"2026-07-22T22:24:54Z","subjects":["Engineering"],"languages":["en","eng"],"rights":["Copyright 2021 Yichi Zhang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/114014","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shomorony, Ilan"]},{"key":"dc:creator","label":"Author","values":["Zhang, Yichi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-04-29T21:46:20Z","2024-04-29T21:47:53Z","2021-12","2021-12-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"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":["Engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Yichi Zhang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/114014"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","The student, Yichi Zhang, accepted the attached license on 2021-12-07 at 14:48.","The student, Yichi Zhang, submitted this Thesis for approval on 2021-12-07 at 15:10.","This Thesis was approved for publication on 2021-12-08 at 10:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17401 on 2022-04-06 at 17:18:00","Made available in DSpace on 2022-04-29T21:46:20Z (GMT). No. of bitstreams: 2 ZHANG-THESIS-2021.pdf: 561182 bytes, checksum: 38331cca4dbebd34a0b3fa5d44844df8 (MD5) LICENSE.txt: 4208 bytes, checksum: 99f473a7e3d64378d7204e899b7e491a (MD5) Previous issue date: 2021-12-08","Embargo set by: Seth Robbins for item 123378 Lift date: 2024-04-29T21:46:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 123378 Lift date: 2024-04-29T21:47:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only","\"The term \"\"crowdsourcing\"\" was first coined by Jeff Howe in 2006 to refer to the idea of outsourcing a task to the public. More generally, crowdsourcing means employing the services of a large number of individuals, either paid or unpaid, to acquire information or input into a work or project, often via the internet. In contrast to outsourcing, crowdsourcing frequently involves a broader, less-specific population. Many online services such as Netflix and Amazon, which have strong and efficient recommendation systems, are all using crowdsourcing algorithms to utilize the user provided data to understand the quality of their items. As of 2021, crowdsourcing generally entails leveraging the internet to attract and divide work among people in order to get a cumulative output. Nowadays, a wide range of research projects and applications utilize crowdsourcing and enjoy the benefits including low cost, high speed, high quality, and high flexibility. The widely used Wikipedia is the most successful product that is developed by the use of crowdsourcing techniques. In this thesis, one typical crowdsourcing problem is introduced, and the goal of the problem is to find the unknown intrinsic parameters that stand for the quality of different items. By modeling the problem through a random matrix of observations/ratings, several different algorithms are presented, all of which give the estimations of the unknown vector parameters. Finally, comparisons are made under different metrics, and the conclusion is derived.\""]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Estimation of intrinsic parameters in crowdsourcing problems"]}]}],"canonical_facts":{"dc:contributor":["Shomorony, Ilan"],"dc:creator":["Zhang, Yichi"],"dc:date":["2022-04-29T21:46:20Z","2024-04-29T21:47:53Z","2021-12","2021-12-08"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","The student, Yichi Zhang, accepted the attached license on 2021-12-07 at 14:48.","The student, Yichi Zhang, submitted this Thesis for approval on 2021-12-07 at 15:10.","This Thesis was approved for publication on 2021-12-08 at 10:17.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17401 on 2022-04-06 at 17:18:00","Made available in DSpace on 2022-04-29T21:46:20Z (GMT). No. of bitstreams: 2 ZHANG-THESIS-2021.pdf: 561182 bytes, checksum: 38331cca4dbebd34a0b3fa5d44844df8 (MD5) LICENSE.txt: 4208 bytes, checksum: 99f473a7e3d64378d7204e899b7e491a (MD5) Previous issue date: 2021-12-08","Embargo set by: Seth Robbins for item 123378 Lift date: 2024-04-29T21:46:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 123378 Lift date: 2024-04-29T21:47:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only","\"The term \"\"crowdsourcing\"\" was first coined by Jeff Howe in 2006 to refer to the idea of outsourcing a task to the public. More generally, crowdsourcing means employing the services of a large number of individuals, either paid or unpaid, to acquire information or input into a work or project, often via the internet. In contrast to outsourcing, crowdsourcing frequently involves a broader, less-specific population. Many online services such as Netflix and Amazon, which have strong and efficient recommendation systems, are all using crowdsourcing algorithms to utilize the user provided data to understand the quality of their items. As of 2021, crowdsourcing generally entails leveraging the internet to attract and divide work among people in order to get a cumulative output. Nowadays, a wide range of research projects and applications utilize crowdsourcing and enjoy the benefits including low cost, high speed, high quality, and high flexibility. The widely used Wikipedia is the most successful product that is developed by the use of crowdsourcing techniques. In this thesis, one typical crowdsourcing problem is introduced, and the goal of the problem is to find the unknown intrinsic parameters that stand for the quality of different items. By modeling the problem through a random matrix of observations/ratings, several different algorithms are presented, all of which give the estimations of the unknown vector parameters. Finally, comparisons are made under different metrics, and the conclusion is derived.\""],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/114014"],"dc:language":["en","eng"],"dc:rights":["Copyright 2021 Yichi Zhang"],"dc:subject":["Engineering"],"dc:title":["Estimation of intrinsic parameters in crowdsourcing problems"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}