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POI coding method and device, POI recommendation method and electronic equipment

A technology of encoding method and recommendation method, which is applied in the field of POI encoding method and device, can solve the problem of POI not being accurate enough, and achieve the effect of improving accuracy

Active Publication Date: 2018-01-09
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a POI coding method to solve the problem that the recommended POI is not accurate enough in the POI coding method in the prior art

Method used

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  • POI coding method and device, POI recommendation method and electronic equipment
  • POI coding method and device, POI recommendation method and electronic equipment
  • POI coding method and device, POI recommendation method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] A POI encoding method disclosed in this application, such as figure 1 As shown, the method includes: step 100 to step 120.

[0039] Step 100, acquire the POI sequence operated by the user.

[0040] Preferably, the operation may be an operation of clicking a commodity or purchasing a commodity.

[0041] During specific implementation, when a user operates a POI, the platform will record the user's behavior log, such as browsing the product, clicking on the product, purchasing the product, payment and other operations. The behavior log includes the product operated by the user, the occurrence of the user operation time and other information. By obtaining the user behavior log, sort the products operated by all users within a period of time to obtain the product sequence, which is the POI sequence used for training the model. During specific implementation, the POI sequence may be represented by a commodity identification sequence.

[0042] Step 110, according to the P...

Embodiment 2

[0052] The specific implementation of the POI encoding method in Embodiment 1 will be described in detail below in conjunction with a specific application example.

[0053] During specific implementation, the step 100 above, the acquisition of the POI sequence operated by the user, includes: obtaining the user behavior log; sorting the POIs included in the user behavior log according to the chronological order of the user operation POI, to obtain the POI sequence. Taking the preset operation as an operation of clicking or purchasing a product as an example, firstly, the clicking or purchasing behavior logs of all users of the platform within a period of time are obtained. Then, analyze the acquired user behavior logs. The user behavior log includes the time when the user operates the product, such as the time when the user clicks on the product or purchases the product. Each of the user behavior logs also includes commodities operated by the user. During specific implementat...

Embodiment 3

[0079] Based on the foregoing embodiments, a POI recommendation method disclosed in this application, such as image 3 As shown, steps 300 to 330 are included.

[0080] Step 300, acquire the ID of the POI to be processed.

[0081] The POI coding method described in Embodiment 1 and Embodiment 2 of the present application is applicable to scenarios where product recommendation and product search are performed based on POI coding, and more similar search results can be recalled.

[0082] During specific implementation, for data processing and management, the platform sets a unique identifier for each POI, for example, numbers are used to identify different POIs.

[0083] Taking the search scenario as an example, when the user enters a POI to be processed in the search box, that is, the POI to be queried, or the user selects a POI on the page, the platform determines its identifier according to the POI to be processed entered or selected by the user. Assuming that the user ente...

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Abstract

The invention provides a POI coding method, belongs to the technical field of computers, and aims at solving the problem that recommended POIs are not correct enough when POI recommendation is carriedout on the basis of POI coding as the POI coding methods in the prior art do not consider association between the POIs during the coding. The method comprises the following steps of: obtaining a POIsequence of a user operation; training a POI coding model through a deep learning-based neural network architecture according to the POI sequence; and determining a code of each POI in the POI sequence according to a POI coding vector sequence corresponding to the POI coding model. According to the method, POI feature extraction is carried out through the POI sequence generated on the basis of theuser operation, and the POIs are coded on the basis of the extracted features, so that associativity of the POIs is hidden in the POI codes, and then the correctness of carrying out POI recommendation on the basis of the POI codes is further enhanced.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a POI encoding method and device, a POI recommendation method, and electronic equipment. Background technique [0002] POI is the abbreviation of "Point of Interest", also known as "Information Point", which is usually used to represent a certain geographical location in the real world, such as a business. With the continuous development of Internet technology, platform service providers are constantly exploring ways to improve service quality for users. For example, when a user browses a platform page through a search engine or browses a client page of an application, the platform usually recommends relevant POIs to the user based on the POIs searched or clicked by the user. [0003] However, the POI encoding method in the prior art only considers the features of individual POIs, which may lead to inaccurate recommended POIs. Contents of the invention [0004] Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N3/08G06Q30/06
Inventor 吴兵兵曾轲李露陈健锋房龙云
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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