A travel recommendation system that uses matrix factorization and lightGCN to generate personalized travel plans based on user preferences and historical data from the Yelp Academic dataset. The system employs three different recommendation models for attractions, hotels, and restaurants, respectively, to ...
Alice (Canasta Hotel) http://www.chatterbotcollection.com/images/Alice_1401380062.gif Hi I'm Alice. I'm the robot at the Canasta Hotel. Why don't you talk to me for a while. English http://www.pandorabots.com/pandora/talk?botid=a847934aae3456cb http://www.chatterbotcollection.com/ite...
Bergamaschi, S., Po, L., Sorrentino, S.: Comparing topic models for a movie recommendation system. In: Monfort, V., Krempels, K. (eds.) WEBIST 2014 - Proceedings of the 10th International Conference on Web Information Systems and Technologies, vol. 2, Barcelona, Spain, 3–5 April 201...
for many years and accumulate vast consumers’ behavior data, the nearby recommendation/payment services provided by Alipay are relatively new thus with less data. Second, a set of budget constraints is imposed on the recommender system, for example, due to service capacity or number of coupons ...