In the travel industry context, customer segmentation, that is the clustering of travelers to distinguish segments of customers with similar needs and desires, is a major issue for improving the personalization of recommendations in flight search queries. Indeed, when booking travel itineraries, different customers purchase tickets according to...
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August 19, 2020 (v1)Conference paperUploaded on: December 4, 2022
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April 1, 2021 (v1)Journal article
Customer Choice Modeling aims to model the decision-making process of customers, or segments of customers, through their choices and preferences identified by the analysis of their behaviors in one or more specific contexts. Clustering techniques are used in this context to identify patterns in their choices and preferences, to define segments...
Uploaded on: December 4, 2022 -
November 26, 2018 (v1)Conference paper
International audience
Uploaded on: December 4, 2022 -
February 1, 2020 (v1)Journal article
In the travel industry, online customers book their travel itinerary according to several features, like cost and duration of thetravel or the quality of amenities. To provide personalized recommendations for travel searches, an appropriate segmentation of customers is required. Clustering ensemble approaches were developed to overcome...
Uploaded on: December 4, 2022 -
May 15, 2020 (v1)Conference paper
In order to provide personalized recommendations for travel search queries to online customers, an appropriate segmentation of customers is required using information from the search query. Clustering ensemble approaches have been developed to overcome well-known problems of classical clustering approaches, that each rely on a different...
Uploaded on: December 4, 2022