Abstract: A cluster method and apparatus based on user interest are provided in the present invention. The method includes: receiving pre-determined basic attribute data of a user; calculating a distance between the basic attribute data and a cluster center point, based on the cluster point of the basic attribute data related to the calculation of user interest; comparing the distance with a predefined threshold; if the distance is less than the predefined threshold, determining that the user belongs to a cluster of the interest. As the embodiments of the invention take the basic attribute data from the data of registered users into consideration, the recommendation of corresponding content is executed before getting user behavior data of browsing operations, based on the cluster of interest obtained from register information. Thus the accuracy of recommending to new registered users may be improved.

Abstract: A method for opening a browser includes: receiving a signal for starting up a browser and opening the browser; judging whether a locally stored first splash screen image is valid at the current time; if yes, displaying the first splash screen image, if not, displaying a local default second splash screen image; after the opening the browser, further including: sending first information to a server, wherein the first information includes client basic information and image information of the first splash screen image, wherein the client basic information includes a screen size of the client and a client attribute; receiving second information returned by the server according to the first information; and updating the locally stored first splash screen image according to the second information.

Abstract: A cluster method and apparatus based on user interest are provided in the present invention. The method includes: receiving pre-determined basic attribute data of a user; calculating a distance between the basic attribute data and a cluster center point, based on the cluster point of the basic attribute data related to the calculation of user interest; comparing the distance with a predefined threshold; if the distance is less than the predefined threshold, determining that the user belongs to a cluster of the interest. As the embodiments of the invention take the basic attribute data from the data of registered users into consideration, the recommendation of corresponding content is executed before getting user behavior data of browsing operations, based on the cluster of interest obtained from register information. Thus the accuracy of recommending to new registered users may be improved.