Automated Article Outline Generation Using Search Log Data

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Solution Overview

Problem

Manually generating lists of top items for articles is time-consuming and tedious, as it relies on individual opinions and lacks an efficient method for identifying and ranking relevant topics based on search data.

Innovation Solution

A system that executes search queries to identify topics, uses search log data to rank them, and provides an outline for composing themed articles, incorporating sub-topics and search insights to facilitate article composition and navigation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual methods are used to generate lists of top items for articles, then individual opinions and expertise can be incorporated, but the process becomes time-consuming and tedious

Engineering Contradiction:

Improvequality of topic selectionVSAvoidtime to generate article outlines

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automatic generation of article outlines by having the search system itself perform the topic identification and ranking tasks that would otherwise require manual human effort. The search log data automatically ranks topics without human intervention, resolving the contradiction between quality and time consumption.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of topic selection with an automated computational system that uses search log data and algorithms to identify and rank topics. This substitution eliminates the time-consuming manual work while maintaining or improving topic selection quality through data-driven insights.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated search query execution is used to identify topics, then topic identification becomes faster and more scalable, but the system complexity increases

Engineering Contradiction:

Improvespeed of article outline generationVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system leverages the existing search engine's multi-functionality, using its search query execution and log data collection capabilities for the additional purpose of topic identification and ranking. This approach increases productivity without proportionally increasing complexity, as the search system already performs these functions.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses search log data as an intermediary that bridges the gap between user search behavior and topic identification. This intermediary layer simplifies the system architecture by using existing data infrastructure rather than requiring complex new mechanisms for topic discovery.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS10990620B2Aiding composition of themed articles about popular and novel topics and offering users a navigable experience of associated content

Publication Date: 2021.04.27 YAHOO ASSETS LLC

AI summary

In one embodiment, a theme may be obtained. A search query may be executed to identify a plurality of search results pertaining to the theme. A plurality of topics pertaining to the theme may be identified from the search results. Search log data pertaining to the plurality of topics may be ascertained from a search log. The plurality of topics may be ranked based, at least in part, upon the search log data. At least a portion of the plurality of topics may be provided according to the ranking.