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- W2742056276 abstract "Now a day there is a heavy demand for recommender system. The problem with this system is to find the tour log information in this user feedback is not available. To overcome the problem of the above system, we study the feature of current using models like Tourist Topic model(TT),Tourist Area Topic(TAT)and Tourist season Topic(TST) by combining these previously used models to develop a new Model called Tourist Relationship Area Season Topic model(TRAST) to implement a cocktail approach to produce the list of personalized package recommendation based on location and seasons and to improve efficiency we are using the Hierarchical agglomerative clustering algorithm. To improve the above model for collecting the options of travelers in every group. This proposed method it is very convenient to travelers for time and money saver." @default.
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- W2742056276 date "2015-01-01" @default.
- W2742056276 modified "2023-09-27" @default.
- W2742056276 title "A Recommendation Method for Travel Package in Mixed Approach" @default.
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