Adaptive Recommender Systems for Travel Planning

Tariq Mahmood (), Francesco Ricci (), Adriano Venturini () and Wolfram Höpken ()
Additional contact information
Tariq Mahmood: University of Trento
Francesco Ricci: Free University of Bozen-Bolzano
Adriano Venturini: ECTRL Solutions
Wolfram Höpken: Etourism Competence Center Austria

A chapter in Information and Communication Technologies in Tourism 2008, 2008, pp 1-11 from Springer

Abstract: Abstract Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e.g., travel planning in a dynamic packaging system. Notwithstanding this increased interactivity, these systems employ an interaction strategy that is specified a priori (at design time) and is followed quite rigidly during the interaction. In this paper we illustrate a new type of conversational recommender system which uses Reinforcement Learning techniques in order to autonomously learn an adaptive interaction strategy. After a successful validation in an off-line experiment (with simulated users), the approach is now applied within an online recommender system which is supported by the Austrian Tourism portal (Austria.info). In this paper, we present the methodology behind the adaptive conversational recommender system and a summarization of the most important issues which have been addressed in order to validate the approach in an online context with real users.

Keywords: Conversational Recommender Systems; Reinforcement Learning; Markov Decision Process; Travel Planning; Information Presentation and Delivery (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-211-77280-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9783211772805

DOI: 10.1007/978-3-211-77280-5_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().