| 摘要 |
The invention relates to a customized prediction method based on artificial intelligence algorithms, concerning the categories of Internet pages to be visited by a user, method that can be employed by Internet browsers and providers of web services for suggesting pages thereto, aiming at accelerating and simplifying navigation, with benefits in navigation from personal computers, but especially from mobile devices. According to the invention, the prediction method comprises the following stages: a first stage of pre-processing (3) in which, starting from a current navigation sequence of a user and from his navigation history, one or several acyclic vectors are created with the categories of visited pages, in the visiting order; a second stage, of processing (4), which predicts the category of the next Internet page to be accessed by the user, by combining two different prediction techniques: one based on a recommendation process (12) and the other - a statistic method based on comparing probabilities of access of various categories of pages, using three different factors for making predictions: the user's navigation history, the current moment in time and the user's current navigation pace; there is also a third stage in which the pre-processed information is added to the user's navigation history. The prediction method outputs the probable categories (O1) for the current moment, the probable categories (O2) for the current navigation pace, the probability (O3) of continuing the sequence and the predicted category (O4), by combining the previous categories (O1, O2, O3). |
