A situation information integrated personalized travel package recommendation approach based on TD-LDA model

Using the internet for online information search has become the current main channel of getting information when tourists design a travel plan. However, with the rise of the internet and e-commerce websites, tourists are often submerged in a lot of information search and product selection. According to the customer service information of travel website, design a personalized travel package recommendation approach based on TD-LDA Model. The method uses topic analysis to extract the activities which tourists may interested in. And give full consideration to the duration of travel, the new package generated by travel company and other information to recommend personalized travel packages for tourists. Experimental results on real-world online customer service data show that this method can effectively extract the interests of tourists for travel package recommendation.