A data transmission method, device and system

Abstract

Embodiments of the present invention provide a data sending method, device, and system, wherein the data sending method includes: obtaining the weight of the category of emoticons used by the user during an interaction process; When the value is greater than a preset value, the recommended data corresponding to the type of emoticon is obtained; and the recommended data is sent to the user during the interaction. The solution of the present invention analyzes the emoticons used in the instant messaging interaction, so as to recommend corresponding data to the user according to different scenarios.

Description

technical field [0001] The present invention relates to the field of communication technologies, in particular to a method, device and system for sending data. Background technique [0002] Existing advertising recommendation methods applied in instant messaging systems are mostly based on keyword matching, or recommend after obtaining user search content through search engines. The cookies (data stored on the local terminal) information saved at the time of the product will pop up or display the advertisement recommendation of related products in the reserved advertising space. There are also chat tools that directly use certain words in the content entered by the user during the chat process as keywords, and mark them in an eye-catching manner (such as underlined). Users can click or slide the mouse over the keywords to obtain relevant information. [0003] Existing advertisement recommendation methods applied in instant messaging systems are all based on user input text ...

AI Technical Summary

Problems solved by technology

On the one hand, the acquisition of keywords is limited by the availability of relevant information stored in browsers and search engines, and users input words randomly during searches or conversations, which may lead to inability to obtain or fail to recommend key information. Accurate; on the other hand, with the development of network technology and communication tools, the interaction methods in the current instant messaging system are becoming more and more diverse. In addition to text, users are increasingly using voice, emoticons, and even video messages to communicate communication, which makes the advertising recommendation method based on the analysis of the text content too simple, unable to fully explore the user's points of interest

[0004] Furthermore, in an instant messaging system, the roles and scenarios a user plays when interacting with different objects may be very different. Most of the existing solutions do not take into account the differences in user interests in subdivided scenarios.

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