Amazon technologies, inc. (20240331004). AUTOMATICALLY GENERATED PRODUCT RECOMMENDATIONS BASED UPON QUESTIONS AND ANSWERS simplified abstract
Contents
AUTOMATICALLY GENERATED PRODUCT RECOMMENDATIONS BASED UPON QUESTIONS AND ANSWERS
Organization Name
Inventor(s)
Soomin Lee of Mountain View CA (US)
AUTOMATICALLY GENERATED PRODUCT RECOMMENDATIONS BASED UPON QUESTIONS AND ANSWERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331004 titled 'AUTOMATICALLY GENERATED PRODUCT RECOMMENDATIONS BASED UPON QUESTIONS AND ANSWERS
Simplified Explanation: The patent application describes an automatic technique to enhance presented answers by highlighting relevant shopping recommendations within the answer text or as an auxiliary list of suggestions. A model is used to select phrases from the answer text that refer to potential products, which are then ranked in order of importance to display associated products when clicked on.
Key Features and Innovation:
- Automatic technique to enrich presented answers with shopping recommendations
- Selection and ranking of phrases referring to potential products
- Display of associated products when relevant phrases are clicked on
Potential Applications: This technology can be applied in e-commerce platforms, search engines, question-answer websites, and online forums to provide users with relevant shopping recommendations based on the content they are viewing.
Problems Solved: This technology addresses the challenge of presenting relevant shopping recommendations to users in a seamless and non-intrusive manner while they are browsing or seeking information online.
Benefits:
- Enhanced user experience with personalized shopping recommendations
- Increased engagement and click-through rates on displayed products
- Improved relevance of presented answers to user queries
Commercial Applications: The technology can be utilized by e-commerce websites, search engines, and online forums to improve user engagement, increase conversion rates, and drive sales through targeted product recommendations.
Prior Art: Readers can explore prior art related to this technology by researching automatic recommendation systems, natural language processing in e-commerce, and personalized content delivery in online platforms.
Frequently Updated Research: Stay informed about the latest advancements in automatic recommendation systems, natural language processing, and user behavior analysis in e-commerce for potential updates and improvements in this technology.
Questions about Automatic Shopping Recommendations: 1. How does this technology differentiate between relevant and irrelevant shopping recommendations? 2. What are the privacy implications of using this technology to provide personalized shopping recommendations?
Original Abstract Submitted
an automatic technique is disclosed to enrich presented answers by highlighting relevant shopping recommendations. the shopping recommendations can either be highlighted within the answer itself, or as an auxiliary list of suggestions. a model is described for selecting phrases from the answer text (sequences of consecutive terms called noun phrases) that refer to potential products that likely represent relevant shopping recommendation in context of the question-answer pair. the noun phrases are then ranked in order of importance. the top-ranked noun phrases are used to search products to be displayed in association with the noun phrases. clicking or tapping on a highlighted noun phrase launches a shopping-related flow, such as presenting a widget with product recommendations or running a search in a search engine.
