Search Engine Entity Page Generation Using User Consumption Patterns

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Solution Overview

Problem

Users face inefficiencies in finding relevant information about entities due to the lack of optimization in existing online content sources and search engines, which require sifting through non-specific and unorganized data.

Innovation Solution

A new layer in the search engine model is introduced to aggregate and organize data based on user consumption patterns, generating entity pages that summarize user interests by analyzing query logs and user-submitted questions, providing optimized information in response to search queries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If search engines provide listings of search results from various content sources, then users can access information from multiple sources, but users have to sift through non-specific and unorganized data to find desired information

Engineering Contradiction:
Improveinformation accessibilityVSAvoidinformation retrieval efficiency
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent segments entity information into structured components including entity summaries, topic summaries, and related entities. This organization transforms unorganized search results into categorized, easily navigable information blocks, allowing users to quickly locate specific aspects of an entity without sifting through irrelevant data.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary layer that processes raw search results and transforms them into structured entity pages. This intermediary system aggregates information from multiple content sources, organizes it by topics and themes, and presents it in a unified format, mediating between the complexity of source data and user information needs.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Quantity of substance

If online encyclopedia and wiki sites provide detailed information regarding entities, then comprehensive entity information is available, but the information is not optimized for users requiring them to search through information to find desired information

Engineering Contradiction:
Improveinformation completenessVSAvoidinformation navigation
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

The patent divides comprehensive entity information into structured segments including entity summaries, topic summaries organized by themes, and related entities. This segmentation maintains information completeness while enabling users to navigate directly to relevant topics without reading through entire articles, significantly improving information accessibility.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by providing different levels of information organization at different stages: entity summaries provide high-level overviews, while topic summaries provide detailed information on specific aspects. Users can access detailed information locally at each topic level without being overwhelmed by the entire knowledge base.

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If question and answer sites allow users to submit questions for community answers, then diverse perspectives can be obtained, but users must wait for answers to be submitted

Engineering Contradiction:
Improveanswer diversityVSAvoidinformation retrieval time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent performs preliminary action by pre-processing and organizing entity information from multiple content sources before user queries are submitted. Entity pages are generated in advance with structured topic summaries, so when users search, they immediately receive organized information without waiting for community responses or real-time processing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates copied and organized versions of information from various content sources, transforming unstructured data into structured entity pages. This copying process preserves information diversity from multiple sources while presenting it in a unified, immediately accessible format that eliminates waiting time.

Inventive Principle:
Principle #26Copying

4Measurement precision

If product sites or business review sites provide product or business information, then specific product information is available, but the information may be limited and may not address the user's specific interest

Engineering Contradiction:
Improveinformation specificityVSAvoidinformation coverage
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent merges information from multiple content sources including product sites, review sites, encyclopedias, and other relevant sources into unified entity pages. This combining process maintains the specificity of product information while expanding coverage to include related topics, specifications, reviews, and contextual information that addresses diverse user interests.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates universal entity pages that serve multiple functions: providing product specifications, customer reviews, related products, pricing information, and contextual knowledge. This multi-functional approach allows a single entity page to address various user information needs that would otherwise require visiting multiple specialized sites.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10437859B2Entity page generation and entity related searching
Publication Date: 2019.10.08 MICROSOFT TECHNOLOGY LICENSING LLC
  • US10437859B2 patent drawing
  • US10437859B2 patent drawing
  • US10437859B2 patent drawing

AI summary

Entity pages are created that are optimized for search engines to return entity information from the entity pages in response to search queries. An entity page may be created for an entity by identifying electronic content sources that include data about the entity. Usage data indicative of how users have consumed data at the electronic content sources is also determined. The usage data is analyzed to identify topics for the entity and topic content is retrieved from the electronic content sources to create topic summaries. An entity page with the topics summaries is generated. When a search engine receives a search query related to the entity, the search engine may provide information from the entity page in response to the search query.