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.
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
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.
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.
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.
Smart Images

Figure CN122199057A_ABST