A method and device for recommending electronic information

Abstract

This application discloses a method and device for recommending electronic information, which can pre-generate recommended tasks, and monitor the recommendation period included in each recommendation task in the pre-generated recommendation task set. After monitoring the recommended tasks that reach the recommendation period, determining, according to the electronic information identifier included in the recommendation task, recommendation information including electronic information corresponding to the electronic information identifier, and sending the determined recommendation information to a terminal corresponding to the terminal identifier according to the terminal identifier included in the recommendation task, In this way, the purpose of actively recommending electronic information that requires repeated acquisition to the user terminal is realized, which facilitates the user to obtain related electronic information, reduces the burden on the retrieval server, and saves network bandwidth.

Description

technical field [0001] The present application relates to the field of Internet technology, and in particular to a method and device for recommending electronic information. Background technique [0002] With the advent of the electronic information age, the Internet is playing an increasingly important role in people's lives. People can obtain various information quickly and in real time through the Internet. Internet applications have provided great benefits for people's life and work. Convenience, thus becoming a very popular technology at present. [0003] The Internet is an important way for users to obtain information and resources. In order to enable users to more efficiently obtain information that users are interested in and useful to users, recommendation systems have gradually become the infrastructure of various website servers on the Internet. When the user requests to browse the electronic information provided by the website server, it will send an information...

AI Technical Summary

Problems solved by technology

In practical applications, users have repeated acquisition requirements for specific types of electronic information, for example, for electronic information that is periodically updated, or for electronic information that needs to be purchased or obtained repeatedly for consumables, for such a type of electronic information Information, users hope to obtain the electronic information before the update period arrives, or obtain the entity corresponding to the electronic information through purchases before the consumption period arrives, and based on the above recommendation strategy, the information is initiated at the user terminal If the recommendation is made to the user after obtaining the request, if the user forgets to send the information obtaining request or fails to send the information obtaining request in time, the electronic information may not be obtained on the spot, resulting in delays in updating the electronic information or failing to obtain the electronic information in time Corresponding entities and other issues, therefore, actively recommending electronic information to users is an important aspect that the current recommendation system needs to improve, and the above-mentioned recommendation systems cannot achieve

[0006] To sum up, the recommendation system in the existing website server mainly recommends electronic information related to the information acquisition request to the user based on the information acquisition request sent by the user, but cannot actively recommend electronic information that requires repeated acquisition to the user. The function of information causes users to re-retrieve the electronic information corresponding to relevant entities, which not only increases the burden on the retrieval server, but also takes up a large amount of network bandwidth

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