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Methods and systems for personalized, interactive and intelligent searches

An intelligent search and interactive technology, applied in transmission systems, structured data retrieval, instruments, etc., can solve the problems of low efficiency, inconvenience and inaccuracy of information search

Active Publication Date: 2018-09-28
INTEGEM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, this AR search engine has the same problems as existing search engines: the user's information search in the AR system is inefficient, inaccurate, and inconvenient

Method used

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  • Methods and systems for personalized, interactive and intelligent searches
  • Methods and systems for personalized, interactive and intelligent searches
  • Methods and systems for personalized, interactive and intelligent searches

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0207] Example 1 Search scene comparison 1

[0208] In this example, the term "shoes" is used to illustrate the difference between a conventional search engine and the present invention, such as a user using Google.

[0209] Type "shoes" into Google and we get over 1.7 billion search results ( Figure 7A ). It includes men's and women's shoes, kids' and adults' shoes, different brands of shoes, different e-commerce and local store shoes, different sizes of shoes, different seasons of shoes, different colors of shoes, different prices of shoes, etc. Wait. For users, viewing all search results is meaningless and inefficient. It cannot provide users with accurate and relevant information. Search results are text and hyperlinks. This is not "friendly" for users.

[0210] When a search result link is clicked, a website is entered (Fig. 7b). On this website, besides shoes, there are many different kinds of goods, and users need to search and compare prices. This is inconve...

example 2

[0219] Example 2 Search scene comparison 2

[0220] In this example, the input query is "john's shoes".

[0221] If you use the existing search engine to search, it will return more than 12.5 million results, and the top results are shoe companies with "John" in their name ( Figure 9 ).

[0222] The system of the present application identifies the user and learns from the user information that the user has a 3-year-old son named John. Based on past purchase information, it is known that the user purchased boy's shoes of size 12 five months ago. The boy is growing so John's shoes are about a size 13 now. Based on previous records, users would buy sneakers for the 3-year-old boy in the $30-$50 price range. Users want shoes that are cute and that children will love, ideally with lights that light up. The brands that users want to buy for their son include Nike, New Balance, and Reebok. It's Orlando, Florida, and it's March, and the weather is getting warmer, so the shoes...

example 3

[0224] Example 3 Search scene comparison 3

[0225] In this example, the input query is "dancing".

[0226] Only text input searches are possible using existing search engines. Type "dancing" into Google search, and there will be more than 1.57 billion results, with dance academies and dance schools ( Figure 11 ).

[0227] The system of the present application identifies the user as Sarah, a five-year-old girl. She has been taking ballet lessons. She simply did a ballet move in San Francisco, California, on November 20, 2016.

[0228] Based on these, however, the information is still very vague, and the current system does not do a good job of narrowing down search results. Instead of detailed search results ( Figure 12A ).

[0229] In this application, category information is used instead of detailed search results, which is a way for the system to actively interact with users, so that further explanation and refinement can be made for personalized search.

[0230...

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Abstract

Existing search methods / systems are often generic and sometimes offer no user specific information. Disclosed herein are methods and systems for providing personalized, interactive, and intelligent search information. In particular, intelligent analysis for better interpreting and understanding user input and interactive user feedback concerning both search query quality and search result qualityare provided to improve search quality and user experience, especially for accurate and intelligent searches in an interactive system (e.g., in an AR system).

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Provisional Patent Application No. 62 / 261704, filed December 1, 2015, entitled "Personalized Intelligent Inquiry System," which is hereby incorporated by reference in its entirety. technical field [0003] The present application mainly relates to a system, device and method for a personalized interactive intelligent search engine for an augmented reality (augmented reality, referred to as "AR") system. Background technique [0004] Existing search engines, such as Google or Bing, are designed to work with existing web-based or mobile phone-based systems. More interactive systems (such as augmented reality systems, or AR systems for short) have entirely new and different types of interfaces and system architectures. For example, existing search engines rely heavily on user text input. However, in AR systems, there is usually no input device like a keyboard or keyboard-like, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/29G06F16/9535H04L63/08G06F21/6209
Inventor 伊丽莎·杜
Owner INTEGEM INC
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