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Information flow recommendation method, information flow recommendation device and search engine

A recommendation method and a recommendation device technology, applied in the Internet field, can solve problems such as thin recommendation dimensions, inability to actively dig out potential needs of users, and poor user experience, so as to improve recommendation effects, click-through rates, and user experience.

Pending Publication Date: 2017-06-30
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a single user, the existing recommendation sequence can only adjust the push sequence based on historical browsing records and historical search records. There are few features that can be extracted, and the recommendation dimension is thin. It can only passively output according to the user's input, and cannot actively mine the potential of the user. demand, it is easy to have homogeneous content, and the user experience is poor

Method used

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  • Information flow recommendation method, information flow recommendation device and search engine
  • Information flow recommendation method, information flow recommendation device and search engine
  • Information flow recommendation method, information flow recommendation device and search engine

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Embodiment Construction

[0034] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote 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, and are only for explaining the present application, and should not be construed as limiting the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0035] The information flow recommendation method adopted in the prior art is as follows:

[0036] Step 1. In general, the information is distributed according to the timeline. The recommended sequence is from near to far, and the probability of exposure of recently released information is greater;

[0037] Step 2. On the basis of step 1, increase the weig...

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Abstract

The invention provides an information flow recommendation method, an information flow recommendation device and a search engine. The information flow recommendation method comprises the following steps of extracting the scene dimension corresponding to a user according to a use scene of the user; mining the user demands according to the scene dimension corresponding to the user; finding information matched with the user demands; pushing the found information to the user. The scene dimension corresponding to the user is extracted according to the current use scene of the user; the demands of the user in the scene dimension are mined; the information matched with the user demands is further found and is pushed to the user, so that the recommended contents can be better matched with the current located scene of the user or the use scene about to occur; the recommending effect is improved; the user clicking rate and the user experience are improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to an information flow recommendation method, device and search engine. Background technique [0002] Under normal circumstances, the information flow recommendation device will push information to the user according to the release time of the information, and adjust the user's push sequence according to the characteristics of the information rating, user's historical browsing record and historical search record, etc. After clicking, the user can reach the information landing page View information details. For a single user, the existing recommendation sequence can only adjust the push sequence based on historical browsing records and historical search records. There are few features that can be extracted, and the recommendation dimension is thin. It can only passively output according to the user's input, and cannot actively mine the potential of the user. Demand, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30H04L29/08
CPCG06F16/9535G06F16/9537H04L67/55H04L67/52
Inventor 黄际洲王婵娟林馨怡李盈
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD