{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/101716"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/101716","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Towards a characteristics-aware document search engine","abstract":"Made available in DSpace on 2018-09-27T16:34:20Z (GMT). No. of bitstreams: 2 PHAM-THESIS-2018.pdf: 857591 bytes, checksum: 19f5ff035729254fdc96ebf61f74241e (MD5) LICENSE.txt: 4206 bytes, checksum: fa5470da0262d869eac9f512ee1e3279 (MD5) Previous issue date: 2018-07-17","abstract_html":"Made available in DSpace on 2018-09-27T16:34:20Z (GMT). No. of bitstreams: 2 PHAM-THESIS-2018.pdf: 857591 bytes, checksum: 19f5ff035729254fdc96ebf61f74241e (MD5) LICENSE.txt: 4206 bytes, checksum: fa5470da0262d869eac9f512ee1e3279 (MD5) Previous issue date: 2018-07-17","abstract_has_math":false,"creators":["Pham, Long T"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Chang, Kevin C.C."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-27T16:34:20Z","date_published":"2018-09-27T16:34:20Z","updated_at":"2026-07-22T22:24:40Z","subjects":["full text search, entity search, document retrieval, characteristics aware"],"languages":["en"],"rights":["Copyright 2018 Long Pham"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/101716","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chang, Kevin C.C."]},{"key":"dc:creator","label":"Author","values":["Pham, Long T"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-09-27T16:34:20Z","2020-09-28T09:15:16Z","2018-07-17","2018-08"]},{"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":["full text search, entity search, document retrieval, characteristics aware"]}]},{"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 Long Pham"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/101716"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Made available in DSpace on 2018-09-27T16:34:20Z (GMT). No. of bitstreams: 2 PHAM-THESIS-2018.pdf: 857591 bytes, checksum: 19f5ff035729254fdc96ebf61f74241e (MD5) LICENSE.txt: 4206 bytes, checksum: fa5470da0262d869eac9f512ee1e3279 (MD5) Previous issue date: 2018-07-17","The increasing volume, heterogeneity, and redundancy of the Web create a novel challenge for search engines in which, target documents must satisfy some characteristics. It is increasingly important because there are more and more types of web pages on the Internet nowadays. Current web search engines are fundamentally incapable of addressing the user need because keywords can not express characteristics of target pages. Another alternative is to use vertical search engines, but they can only cover a few popular niches. Thus, we propose Forward Search to empower users with an engine to express not only topics but also characteristics of pages in their queries. Expected results are documents ranked by both topical and characteristic relevance. Creating Forward Search to have the focus of a vertical engine and the flexibility of web search presents many novel challenges. First, we must represent a document with novel information to support querying for characteristics. Second, we must index both keywords and named entities to quickly locate relevant pages of the target characteristics during query time. Third, we have to design a realistic method to acquire user input about the characteristics of target pages and retrieve documents ranked by both topical and characteristic relevance. Finally, since our system redefines relevance in traditional web search, we must rethink the user interface. This thesis comes with a web-based demonstration of our Forward Search at http://crow.cs.illinois.edu:8080 and five open-source code repositories at https://github.com/forward-uiuc.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01","The student, Long Pham, accepted the attached license on 2018-07-13 at 13:08.","The student, Long Pham, submitted this Thesis for approval on 2018-07-13 at 13:18.","This Thesis was approved for publication on 2018-07-17 at 08:48.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12871 on 2018-09-27 at 11:19:19","Embargo set by: Seth Robbins for item 107816 Lift date: 2020-09-27T16:34:29Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107816 on 2020-09-28T09:15:16Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Towards a characteristics-aware document search engine"]}]}],"canonical_facts":{"dc:contributor":["Chang, Kevin C.C."],"dc:creator":["Pham, Long T"],"dc:date":["2018-09-27T16:34:20Z","2020-09-28T09:15:16Z","2018-07-17","2018-08"],"dc:description":["Made available in DSpace on 2018-09-27T16:34:20Z (GMT). No. of bitstreams: 2 PHAM-THESIS-2018.pdf: 857591 bytes, checksum: 19f5ff035729254fdc96ebf61f74241e (MD5) LICENSE.txt: 4206 bytes, checksum: fa5470da0262d869eac9f512ee1e3279 (MD5) Previous issue date: 2018-07-17","The increasing volume, heterogeneity, and redundancy of the Web create a novel challenge for search engines in which, target documents must satisfy some characteristics. It is increasingly important because there are more and more types of web pages on the Internet nowadays. Current web search engines are fundamentally incapable of addressing the user need because keywords can not express characteristics of target pages. Another alternative is to use vertical search engines, but they can only cover a few popular niches. Thus, we propose Forward Search to empower users with an engine to express not only topics but also characteristics of pages in their queries. Expected results are documents ranked by both topical and characteristic relevance. Creating Forward Search to have the focus of a vertical engine and the flexibility of web search presents many novel challenges. First, we must represent a document with novel information to support querying for characteristics. Second, we must index both keywords and named entities to quickly locate relevant pages of the target characteristics during query time. Third, we have to design a realistic method to acquire user input about the characteristics of target pages and retrieve documents ranked by both topical and characteristic relevance. Finally, since our system redefines relevance in traditional web search, we must rethink the user interface. This thesis comes with a web-based demonstration of our Forward Search at http://crow.cs.illinois.edu:8080 and five open-source code repositories at https://github.com/forward-uiuc.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-08-01","The student, Long Pham, accepted the attached license on 2018-07-13 at 13:08.","The student, Long Pham, submitted this Thesis for approval on 2018-07-13 at 13:18.","This Thesis was approved for publication on 2018-07-17 at 08:48.","DSpace SAF Submission Ingestion Package generated from Vireo submission #12871 on 2018-09-27 at 11:19:19","Embargo set by: Seth Robbins for item 107816 Lift date: 2020-09-27T16:34:29Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 107816 on 2020-09-28T09:15:16Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/101716"],"dc:language":["en"],"dc:rights":["Copyright 2018 Long Pham"],"dc:subject":["full text search, entity search, document retrieval, characteristics aware"],"dc:title":["Towards a characteristics-aware document search engine"],"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":"2026-07-22T22:24:40Z"}