18130894. SYSTEM AND METHOD FOR PROVIDING CONTEXT RECOMMENDATIONS simplified abstract (ThinkAnalytics Ltd.)
Contents
SYSTEM AND METHOD FOR PROVIDING CONTEXT RECOMMENDATIONS
Organization Name
Inventor(s)
Peter Docherty of Glasgow (GB)
Christopher Mcguire of Glasgow (GB)
Bryan Bossard of Canyon Country CA (US)
SYSTEM AND METHOD FOR PROVIDING CONTEXT RECOMMENDATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18130894 titled 'SYSTEM AND METHOD FOR PROVIDING CONTEXT RECOMMENDATIONS
The abstract describes a computer-implemented method for generating content recommendations based on user preferences.
- Simplified Explanation:
- The method involves opening a content recommendation session for a user and receiving requests for desired content attributes. - It then generates content recommendation candidates based on the user's preferences.
- Key Features and Innovation:
- Personalized content recommendations for users. - Ability to generate recommendation candidates based on desired content attributes.
- Potential Applications:
- E-commerce platforms for product recommendations. - Streaming services for personalized content suggestions. - Social media platforms for tailored content feeds.
- Problems Solved:
- Addressing the challenge of providing relevant content recommendations to users. - Enhancing user experience by offering personalized suggestions.
- Benefits:
- Improved user engagement and satisfaction. - Increased likelihood of users finding content of interest. - Enhanced platform usability and relevance.
- Commercial Applications:
- "Personalized Content Recommendation Technology: Enhancing User Experience and Engagement in E-Commerce and Media Platforms"
- Questions about Content Recommendation Technology:
1. How does this technology improve user experience on digital platforms? 2. What are the key factors considered in generating content recommendations for users?
1. A relevant generic question not answered by the article, with a detailed answer: How does the content recommendation technology impact user retention and engagement on digital platforms? This technology can lead to increased user retention and engagement by providing users with content that aligns with their preferences, leading to a more personalized and satisfying experience.
2. Another relevant generic question, with a detailed answer: How does the content recommendation technology handle user privacy and data security concerns? The technology typically employs data encryption and anonymization techniques to protect user data, ensuring that recommendations are based on user preferences without compromising privacy.
Original Abstract Submitted
A computer-implemented method for generating one or more content recommendation, the method comprising: opening a content recommendation session for a selected user, wherein, as part of the session, a content recommendation procedure for generating one or more recommendation candidates based on a seed content item or seed content item identifier is available; receiving a request representing one or more desired content attributes; performing the content recommendation procedure thereby to generate one or more content recommendation candidates for the desired content attributes.
