Recommending improved configurations for complex objects with an application in travel planning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In many applications a user attempts to configure a complex object with many possible internal choices. Recommendation engines that automatically configure such objects given user preferences and constraints, may provide much value in such cases. These applications offer the user various methods to provide the input and generate appropriate recommendations. It is likely, though, that the user will not be able to fully express her preferences and constraints, requiring a phase of manual tuning of the recommended configuration. We suggest that following this manual revision, additional constraints and preferences can be automatically collected, and the recommended configuration can be automatically improved. Specifically, we suggest a recommender component that takes as input an initial manual configuration of a complex object, deduces certain user preferences and constraints from this configuration, and constructs an alternative configuration. We show an appealing application for our method in complex trip planning, and demonstrate its usability in a user study.

Original languageAmerican English
Title of host publicationIntelligent Techniques for Web Personalization and Recommendation - Papers from the 2013 AAAI Workshop, Technical Report
PublisherAI Access Foundation
Number of pages7
ISBN (Print)9781577356226
StatePublished - 1 Jan 2013
Event2013 AAAI Workshop - Bellevue, WA, United States
Duration: 15 Jul 201315 Jul 2013

Publication series

NameAAAI Workshop - Technical Report


Conference2013 AAAI Workshop
Country/TerritoryUnited States
CityBellevue, WA

All Science Journal Classification (ASJC) codes

  • General Engineering


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