An information recommendation method and device
An information recommendation and information library technology, applied in the field of information recommendation methods and devices, can solve the problems of large computing resources occupied, high time delay in predicting click probability, etc., and achieve the effect of reducing the amount of calculation and ensuring the prediction accuracy
Active Publication Date: 2021-08-13
BEIJING SOHU NEW MEDIA INFORMATION TECH
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[0004] In view of this, an embodiment of the present invention provides an information recommendation method and device to solve the problems existing in the current method of predicting click probability, which occupy large computing resources and have a high time delay in predicting click probability.
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[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0050] In this application, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes none. other elements specifically listed, or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "com...
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The present invention provides an information recommendation method and device, which receives a recommendation request including at least user features; recalls multiple target information of different categories from an information base according to the target user's historical operation data and user features; for each target Information, splicing the item features, user features, and context features of the target information to obtain the corresponding splicing features. From the cache vectors of the splicing features corresponding to each information in all predetermined and cached information databases, obtain the target information corresponding The cache vector of splicing features; the splicing features and cache vectors corresponding to all target information are input into the recommendation model to predict the click rate, and the predicted click probability of each target information is obtained, and the target information is fed back to the target user according to the predicted click probability. When performing click-through rate prediction, the corresponding cache vector is directly searched from the cache for click-through rate prediction, which reduces the amount of calculation, reduces the occupied computing resources and reduces the prediction delay.
Description
technical field [0001] The present invention relates to the technical field of information recommendation, in particular to an information recommendation method and device. Background technique [0002] In the practical application of information recommendation, the deep factor machine (DeepFM) model is usually used as the click rate prediction model for predicting the click rate of information. [0003] In the process of using the depth factor machine model to predict the click probability of information, in order to improve the prediction accuracy of the click probability, it is necessary to increase the dimension of the depth factor machine model, which will lead to a large amount of computing resources consumed by the depth factor machine model. And it takes a long time to predict the click probability of obtaining information, the computing resources occupied by predicting the click probability are relatively large, and the time delay for predicting the click probabilit...
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IPC IPC(8): G06F16/9535G06F16/958G06N3/04H04N21/44H04N21/466
CPCG06F16/9535G06F16/958H04N21/44016H04N21/4668H04N21/4666G06N3/045
Inventor 肖锋王蕾
Owner BEIJING SOHU NEW MEDIA INFORMATION TECH