18513342. TECHNIQUES FOR PERSONALIZING APP STORE RECOMMENDATIONS simplified abstract (Apple Inc.)
TECHNIQUES FOR PERSONALIZING APP STORE RECOMMENDATIONS
Organization Name
Inventor(s)
Jayasimha R. Katukuri of San Jose CA (US)
Peter Leong of Mountain View CA (US)
Chandrasekar Venkataraman of Palo Alto CA (US)
Rabi S. Chakraborty of San Jose CA (US)
Hardik Vala of Sunnyvale CA (US)
TECHNIQUES FOR PERSONALIZING APP STORE RECOMMENDATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18513342 titled 'TECHNIQUES FOR PERSONALIZING APP STORE RECOMMENDATIONS
Simplified Explanation
The technique described in the abstract involves providing software application recommendations to a user of a computing device by analyzing user profiles and software application profiles.
- Receiving a request for software application recommendations from the computing device.
- Identifying the user profile associated with the user among a plurality of user profiles.
- Accessing a plurality of software application profiles (SAPs) associated with software applications managed by the server computing device.
- Analyzing the user profile against a subset of the SAPs to identify software applications to recommend.
- Associating the recommended software applications with the user.
- Displaying the software application recommendations on the computing device.
Potential Applications
This technology could be applied in e-commerce platforms, online marketplaces, and digital content distribution services to recommend relevant software applications to users based on their profiles.
Problems Solved
This technique solves the problem of users being overwhelmed by the vast number of software applications available and helps them discover new applications that are tailored to their preferences and needs.
Benefits
- Personalized software application recommendations - Improved user experience - Increased user engagement and satisfaction - Efficient utilization of software applications
Potential Commercial Applications
Optimizing Software Recommendations for Enhanced User Experience
Original Abstract Submitted
Disclosed herein is a technique for providing software application recommendations to a user of a computing device. The technique can include: (1) receiving, from the computing device, a request for at least one software application recommendation, (2) identifying, among a plurality of user profiles, a user profile associated with the user, (3) accessing a plurality of software application profiles (SAPs), wherein each SAP of the plurality of SAPs is associated with a respective software application managed by the server computing device, (4) analyzing the user profile against a subset of the plurality of SAPs to identify, among the respective software applications associated with the subset of the plurality of SAPs, at least one software application to recommend, (5) associating the at least one software application recommendation with the at least one software application, and (6) causing the computing device to display the at least one software application recommendation.
