A method, device and medium for obtaining an information stream advertisement in a quick application

By collecting multi-dimensional real-time contextual data and generating dynamic interest vectors using a real-time intent prediction model, combined with static user profiles and intelligent pre-loading queues, the real-time and stability issues of in-app ad recommendations are resolved, achieving seamless ad presentation and efficient conversion in weak network or low-configuration environments.

CN122199057APending Publication Date: 2026-06-12BEIJING HONGTU XINDA TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING HONGTU XINDA TECH CO LTD
Filing Date
2026-03-05
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing in-app advertising technology struggles to accurately capture fleeting shifts in user interest and can easily cause main business lag or crashes on low-spec devices or in weak network environments.

Method used

By collecting multi-dimensional real-time contextual data, generating dynamic interest vectors using a real-time intent prediction model, and combining them with static user profiles, an intelligent pre-loading queue is constructed to achieve on-demand, refined scheduling and seamless presentation of advertising materials.

🎯Benefits of technology

It achieves millisecond-level accurate response for ad recommendations in weak network or low-configuration environments, eliminating lag and blank screens, and improving user experience and ad click-through conversion rates.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of fast application inner acquisition information flow advertisement method, equipment and medium, it is related to advertisement application technical field, including, real-time user portrait and the material requirement in advertisement acquisition scheduling strategy are sent to advertisement server, advertisement server is matched and sorted from advertisement library, obtains personalized advertisement candidate identification list and the index data of multiple specifications material corresponding to each advertisement identification, constructs intelligent preloading queue, according to personalized advertisement candidate identification list and the index data of multiple specifications material corresponding to each advertisement identification, different specifications advertisement material is dynamically downloaded by intelligent preloading queue, when target advertisement position is about to enter visual area, based on the real-time rendering and seamless presentation of advertisement material downloaded in intelligent preloading queue;The application generates advertisement acquisition scheduling strategy to improve advertisement click conversion rate and the overall smooth experience of user in fast application.
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