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...
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February 1, 2020 (v1)Journal articleUploaded on: December 4, 2022
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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