The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The growth of E-commerce which can be seen in recent years, has contributed a lot to global economy. Prediction of trade, especially in C2C market, can help decision-makers obtain the information from the online transactions and find the knowledge underlying the data. This paper facilities the traditional search index prediction system with ANFIS model. By using purchasing transactions from Taobao,...
With the development of e-commerce, online shopping has become a primary channel for consumers, and it is meaningful to predict the sales volume of e-commerce. This paper combines web search data and structure time series model to predict the women's clothing sales volume of Taobao. Firstly, explore the correlation of consumers' web search behavior and purchase behavior theoretically; Secondly, eliminate...
The popularization of the Internet provide people with more quick and direct access to information channel, the network search data record the netizens' tens of thousands of search concerns and needs to provide the necessary data base for the research of social and economic behavior. Search behaviors' anonymity just can meet the venereal-disease suspected patients' privacy need. This paper will use...
The web search data, which recorded hundreds of millions searchers' concerns and interests, reflected the trends of their behavior and provided essential data basis for the prediction study of the visitors per-day amount of Shanghai World Expo2010. This paper firstly analyzes the correlation between web search data and the visitors' amount per-day of Shanghai World Expo2010, and then builds a conceptual...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.