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Method and apparatus for determining to-be-recommended application (APP)

A technology for determining modules and predetermined duration, which is applied in the computer field, can solve the problems of not considering the needs of individual users and low matching degree, and achieve the effect of improving user experience, increasing probability, and improving recommendation effect

Inactive Publication Date: 2015-12-02
BEIJING QIHOO TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both the current application search and application management services will provide application recommendation functions. Most of the existing application recommendation functions use the method of recommending related APPs based on downloads and / or user evaluation mechanisms. Therefore, popular APPs will rely on snowballing. Effects are constantly being recommended for download. Since this recommendation method does not consider the actual needs of individual users, the matching degree of the APP recommended to users and individual users is low.

Method used

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  • Method and apparatus for determining to-be-recommended application (APP)
  • Method and apparatus for determining to-be-recommended application (APP)
  • Method and apparatus for determining to-be-recommended application (APP)

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Embodiment Construction

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0045] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be unders...

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Abstract

The invention provides a method and an apparatus for determining a to-be-recommended application (APP). The method comprises: obtaining a plurality of APP names installed within a predetermined duration by a terminal user, and based on an installation time sequence, generating a word set comprising the APP names; training the word set with a neural network language model and determining a first word vector corresponding to the word set; performing prediction calculation processing on the first word vector through a prediction model; and according to a prediction result, determining the to-be-recommended APP. According to the method and the apparatus, due to the adoption of the method for determining the to-be-recommended APP based on the historical installation data of the terminal user to construct the work vector, i.e., actual usage habits and actual usage demands of the terminal user are considered in the recommendation process, so that the determined to-be-recommended APP and the terminal user have relatively high matching degree; and further, after the APP with relatively high degree of matching with the terminal user is recommended to the terminal user, the user can quickly obtain the APP matched with the usage demands and the usage habits, so that the user experience is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular, the present invention relates to a method and a device for determining an APP to be recommended. Background technique [0002] With the development of the times, various terminal devices have become an indispensable tool in people's life, and various powerful terminal applications APP continue to emerge, bringing users a more convenient experience. Both the current application search and application management services will provide application recommendation functions. Most of the existing application recommendation functions use the method of recommending related APPs based on downloads and / or user evaluation mechanisms. Therefore, popular APPs will rely on snowballing. Effects are constantly being recommended for download. Since this recommendation method does not consider the actual use needs of individual users, the matching degree of the APP recommended to users and ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0255G06F18/23213
Inventor 岳华东
Owner BEIJING QIHOO TECH CO LTD
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