Data mining based on social networking and comment sites

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Overseas travel, often need to know their own nearby hotels and attractions, may also be temporarily intended to find a restaurant around the satisfy. Finding the best one in this situation often takes a long time to prepare for a trip or a good personality. But now, word of mouth travel wants to help users solve the problem.

Word-of-mouth Travel wants to do is an information portal for outbound travel to help users make immediate decisions. Open Word-of-mouth travel abroad, users can readily access the surrounding restaurants, hotels, attractions, shopping and activities, such as 5 kinds of POI information. This information includes POI prices, Internet Word-of-mouth scores, ratings, key tags (e.g., thoughtful service, as shown below), and user reviews from major websites.

The user can filter and sort the nearby poi according to the word of mouth score and key words, finally make the decision. Considering the custom of Chinese users, the map mode allows users to intuitively understand the distribution and distance of poi, and the comments of foreign languages have their own translation functions. For users from the domestic IP access, for the user to use the fluency of consideration, Word-of-mouth travel hidden positioning, to see the function of nearby poi, but the user in the development of the itinerary, can still view the destination from the navigation interface Poi comments information, make decisions.

On the technical level, the search and poi (point of acquires) information data mining technology is the word of mouth travel hope to form a place of differentiation. Their modus operandi is:

Crawl information from famous websites such as Facebook, Yelp, Agoda, and Expedia, then handle the information according to the weights, and synthesize the information system of Internet Word-of-mouth score, praise rate, main label and user comment.

Word-of-mouth travel want to use such a product mechanism to solve the problem that the user obtains the effective information cost high. And the previous Word-of-mouth group has been a tourist UGC community for many years, so there has been considerable data accumulation.

We have previously reported Word-of-mouth travel-Thailand beta version of the relevant news, recently they will launch a unified version of the iOS and Android version, covering more than 200 countries, more than 6,000 cities, bringing together nearly 1 billion outbound travel service evaluation information, more in-depth excavation of Word-of-mouth.

Word of mouth travel completed a millions of dollar a-round investment this June. Founder Zhouqingsong revealed that the future features will be increased car rental reviews information. And its current primary goal is to attract enough users, in the competition before the emergence of the market, become users of information access to the main entrance. After that, it will also increase the parity and booking function to form the product closed loop.

Talk about competing goods, in Zhouqingsong view, Word-of-mouth Travel is a data company, the core competitiveness is the ability of data mining. From this point of view, whether it is a poor tour, such as the introduction of the community or Ctrip, such as Cheng, Yi-long Ota is not word-of-mouth travel direct competition.

But what to consider is where to go and how to compete. Where to have to go to the network to import the flow and the content of the construction team, where to go Raiders can also meet the user's immediate decision-making and preparation of the needs of the line, the sort can be poi heat, distance, price and so on. And finally, where to go. The network provides the reservation and the information inquires the channel support, from a certain point of view than the word of mouth travel to advance one step.