A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
M Kolahkaj, A Harounabadi… - Electronic Commerce …, 2020 - Elsevier
Personalized travel package recommendation for tourists is an important task in the e-
Tourism field. With the excessive growth of data over the internet, it has become difficult to
find relevant information among all of the Points-of-Interest (PoIs) for tourists.
Recommendation Systems (RSs) are the essential tools to tackle the information overload
problem and suggesting relevant items to the users. But, due to differences in users'
interests, dynamic contexts and sequential travel patterns in their behaviors, the existing …
Tourism field. With the excessive growth of data over the internet, it has become difficult to
find relevant information among all of the Points-of-Interest (PoIs) for tourists.
Recommendation Systems (RSs) are the essential tools to tackle the information overload
problem and suggesting relevant items to the users. But, due to differences in users'
interests, dynamic contexts and sequential travel patterns in their behaviors, the existing …
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