Recommendation System Based On The Tourist Routes Of The Vertical Search Engine Evaluation

As the economy is developing and people's income is growing, the number of people who go out travelling is becoming immense. Meanwhile, as the widespread of Internet, Internet is always used for searching information before going out. However, it is not an easy way to obtain the information needed from such an enormous Internet. It is relatively convenient to get travel information by traditional search engine, but it is found difficult to help you be aware of this when you want to acquaint yourself with all aspects of a trourism, what you have to do is to type every kind of requests into the search engine time after time and then seek the information needed, which is really time waste.In order to meet more and more tourists'service demands of searching travel information, this paper describes a Travelling route Recommendation System based on vertical search engine.This is a search platform mainly focuses on travel information, which can help you get the information of tourist routes and the information needed during the tourism. This system can be used to choose the best route that is most suitable for you and to make full preparation for the travelling by getting the information such as the cities, scenic spots, accommodation, meals, traffic, cost, needed time, cultural background and the news of the route.This system has two main characteristics, one is that it can search for the tourist route according to your primary requirements, use the route recommendation model to calculate the recommended value and present the highly recommended route to you. The other is that this system can show all common travel information related to all travelling routes vividly on the map. On the base of the recommendation of the route, this system can combine the travelling routes with the related travel information, thus it can be relatively easier to get needed travel information. Not only it saves the searching time, but also it improves the experience of information search service.The system has developed the customized system to catch, classify and collect the website information of tourist industry based on the open source crawler frame heritrix and website analysis program HTML Parser, and also developed the system to search for the tourist route together with the tourist route recommendation calculate model based on the open source search engine frame Lucene. The influence factors such as the tourist spot grades, the dynamic conditions of scenic spots and traffic, travel seasons are fully taken into consideration in this model.You can use this model to calculate the recommended value of every tourist route that meet your search requirement. And the system will give you the remark for score of the lowly recommended route, and provide you the attentive and satisfactory service for your travel.