18146146. PROMPTING DATA SESSION simplified abstract (International Business Machines Corporation)
Contents
PROMPTING DATA SESSION
Organization Name
International Business Machines Corporation
Inventor(s)
Pinaki Bhattacharya of PUNE (IN)
Sandeep Sukhija of RAJASTHAN (IN)
Rajesh Kumar Saxena of THANE EAST (IN)
PROMPTING DATA SESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18146146 titled 'PROMPTING DATA SESSION
The abstract of the patent application describes methods, computer program products, and systems for examining user data to determine if a criterion has been met for running a prompting data session, and if so, running the session by establishing and updating a relationship graph and presenting it to the user.
- The innovation involves examining user data to determine eligibility for a prompting data session.
- If the criterion is met, a relationship graph is established and updated iteratively.
- The updated relationship graph is then presented to the user for interaction.
Potential Applications: - Personalized recommendation systems - Behavioral analysis in user interfaces - Targeted advertising platforms
Problems Solved: - Efficiently determining user eligibility for prompting data sessions - Enhancing user engagement through interactive relationship graphs
Benefits: - Improved user experience through personalized interactions - Increased user satisfaction and engagement - Enhanced data-driven decision-making processes
Commercial Applications: Title: Personalized Recommendation System for E-commerce Platforms This technology can be utilized in e-commerce platforms to provide personalized product recommendations based on user behavior and preferences, leading to increased sales and customer satisfaction.
Prior Art: Further research can be conducted in the fields of user interface design, data analytics, and personalized recommendation systems to explore similar technologies and advancements.
Frequently Updated Research: Stay updated on advancements in user data analysis, interactive relationship graphs, and personalized recommendation systems to enhance the effectiveness and efficiency of this technology.
Questions about Personalized Recommendation System: 1. How does this technology improve user engagement and satisfaction? - This technology enhances user engagement by providing personalized recommendations based on user behavior and preferences, leading to a more tailored user experience. 2. What are the potential challenges in implementing this technology in different industries? - Implementing this technology in various industries may pose challenges related to data privacy, user consent, and algorithm accuracy.
Original Abstract Submitted
Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining user data of at least one user to determine whether a criterion has been satisfied for running a prompting data session for prompting the at least one user; responsively to determining that the criterion has been satisfied for running the prompting data session for prompting the at least one user, running a prompting data session, wherein the running the prompting data session includes (a) establishing and iteratively updating a relationship graph and (b) presenting the iteratively updated relationship graph to one or more user.
