{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/92801"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/92801","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Creating itineraries using decision analysis","abstract":"This Thesis was approved for publication on 2016-07-12 at 13:19.","abstract_html":"This Thesis was approved for publication on 2016-07-12 at 13:19.","abstract_has_math":false,"creators":["Sancheti, Ninad Lalit"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Industrial Engineering","degree_department":null,"school":null,"contributors":["Thurston, Deborah L."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T17:50:25Z","date_published":"2016-11-10T17:50:25Z","updated_at":"2026-07-22T22:26:35Z","subjects":["Itinerary","Building","Recommendation","Decision Analysis"],"languages":["en"],"rights":["© 2016 Ninad Sancheti"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/92801","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Thurston, Deborah L."]},{"key":"dc:creator","label":"Author","values":["Sancheti, Ninad Lalit"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T17:50:25Z","2016-07-12","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial Engineering"]},{"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":["Itinerary","Building","Recommendation","Decision Analysis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["© 2016 Ninad Sancheti"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/92801"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This Thesis was approved for publication on 2016-07-12 at 13:19.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9865 on 2016-11-09 at 10:23:59","Made available in DSpace on 2016-11-10T17:50:25Z (GMT). No. of bitstreams: 2 SANCHETI-THESIS-2016.pdf: 1302850 bytes, checksum: 1ca5111ac070b36dec08ba13b281190c (MD5) LICENSE.txt: 4211 bytes, checksum: 578798561934cb7525a38c05a30e1407 (MD5) Previous issue date: 2016-07-12","With the age of technology and information, tourists today are more informed. The dynamic nature of the ever growing tourism industry, the ever changing demands and the drive towards customization coupled with the availability of offline, online and mobile commerce has led to products and services being developed to plan and organize travel. Websites like TripHobo, TripIt, TripAdvisor etc. have simplified the reservation systems involved in planning for trips. They may give the customers recommendations based on the rankings and ratings of other people, and probably in the near future, may recommend places to visit within the city based on history. But until now, there has not been a solution which suggests the destinations to be visited and no system accounts for one of the best measures of personal requirements, i.e. the 'utility'. This thesis describes a new method for recommending a complete itinerary to tourists (especially individual travelers). It proposes a model which uses decision theory and data available online to customize, choose and build an itinerary for a tourist. The objective of the model is to find the combination of tourist destinations along with the number of days that the tourist should spend at each destination and the recommended activities. The combination is chosen in a way that maximizes the utility of the trip: in lay terms, the itinerary should maximize the satisfaction that the tourist derives from the trip.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Ninad Sancheti, accepted the attached license on 2016-07-11 at 13:39.","The student, Ninad Sancheti, submitted this Thesis for approval on 2016-07-11 at 13:48."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Creating itineraries using decision analysis"]}]}],"canonical_facts":{"dc:contributor":["Thurston, Deborah L."],"dc:creator":["Sancheti, Ninad Lalit"],"dc:date":["2016-11-10T17:50:25Z","2016-07-12","2016-08"],"dc:description":["This Thesis was approved for publication on 2016-07-12 at 13:19.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9865 on 2016-11-09 at 10:23:59","Made available in DSpace on 2016-11-10T17:50:25Z (GMT). No. of bitstreams: 2 SANCHETI-THESIS-2016.pdf: 1302850 bytes, checksum: 1ca5111ac070b36dec08ba13b281190c (MD5) LICENSE.txt: 4211 bytes, checksum: 578798561934cb7525a38c05a30e1407 (MD5) Previous issue date: 2016-07-12","With the age of technology and information, tourists today are more informed. The dynamic nature of the ever growing tourism industry, the ever changing demands and the drive towards customization coupled with the availability of offline, online and mobile commerce has led to products and services being developed to plan and organize travel. Websites like TripHobo, TripIt, TripAdvisor etc. have simplified the reservation systems involved in planning for trips. They may give the customers recommendations based on the rankings and ratings of other people, and probably in the near future, may recommend places to visit within the city based on history. But until now, there has not been a solution which suggests the destinations to be visited and no system accounts for one of the best measures of personal requirements, i.e. the 'utility'. This thesis describes a new method for recommending a complete itinerary to tourists (especially individual travelers). It proposes a model which uses decision theory and data available online to customize, choose and build an itinerary for a tourist. The objective of the model is to find the combination of tourist destinations along with the number of days that the tourist should spend at each destination and the recommended activities. The combination is chosen in a way that maximizes the utility of the trip: in lay terms, the itinerary should maximize the satisfaction that the tourist derives from the trip.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Ninad Sancheti, accepted the attached license on 2016-07-11 at 13:39.","The student, Ninad Sancheti, submitted this Thesis for approval on 2016-07-11 at 13:48."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/92801"],"dc:language":["en"],"dc:rights":["© 2016 Ninad Sancheti"],"dc:subject":["Itinerary","Building","Recommendation","Decision Analysis"],"dc:title":["Creating itineraries using decision analysis"],"dc:type":["text"],"thesis:degree_discipline":["Industrial Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:35Z"}