Culturally Relevant Search Result Augmentation

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Users face difficulties in retrieving culturally relevant search results, as existing search engines often prioritize general information over current events, requiring users to refine their queries to find relevant news, which can be time-consuming and inefficient.

Innovation Solution

A system that generates and compares feature vectors for search queries and news documents to identify culturally relevant results, boosting and grouping these results based on current events, allowing users to perceive them prominently or differently from non-relevant results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If existing search engines prioritize general information, then comprehensive information coverage is improved, but cultural relevance and current event prominence deteriorate

Engineering Contradiction:

Improveinformation coverageVSAvoidcultural relevance

Core Design Contradiction:

Quantity of substanceVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary action by comparing the query feature vector with news feature vectors before final search result generation. This preliminary comparison identifies current events related to the query, allowing the system to augment the query feature vector with relevant news terms and concepts in advance, ensuring cultural relevance is incorporated before ranking results

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies parameter changes by transforming the query feature vector into an augmented query feature vector. This transformation involves adding, removing, or modifying terms based on news feature vector comparisons, effectively changing the search parameters to reflect current cultural context and events while maintaining comprehensive information coverage

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If users refine queries to find relevant news, then search precision is improved, but user effort and time consumption increase

Engineering Contradiction:

Improvesearch precisionVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies self-service by automatically performing the query refinement that users would otherwise need to do manually. The system autonomously compares the query with news feature vectors, identifies relevant current events, and augments the query feature vector without requiring user intervention, thus maintaining search precision while eliminating the time users would spend refining queries

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses feedback mechanisms by comparing query feature vectors with news feature vectors and using the comparison results to augment the query. This feedback loop automatically adjusts the search parameters based on current events, improving search precision for news-related queries without requiring users to manually refine their search terms

Inventive Principle:

Principle #23Feedback

3Quantity of substance

If search results are presented in standard order, then result comprehensiveness is improved, but cultural relevance prominence deteriorate

Engineering Contradiction:

Improveresult comprehensivenessVSAvoidrelevance accessibility

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system applies segmentation by dividing search results into distinct groups: those closely related to current events and those with no particular known relationship. This segmentation allows the system to present comprehensive results while making culturally relevant results easily identifiable and accessible through separate grouping or positioning

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If the system compares query feature vectors with news feature vectors, then cultural relevance is improved, but system complexity increases

Engineering Contradiction:

Improvecultural relevanceVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system applies universality by using the same feature vector comparison mechanism for both news search and general search. The query feature vector comparison with news feature vectors serves multiple purposes: identifying current events, augmenting the query, and improving cultural relevance across different search contexts, thereby reducing the need for separate specialized systems

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS9442985B2Systems and methods for providing culturally-relevant search results to users

Publication Date: 2016.09.13 YAHOO ASSETS LLC

AI summary

Search results may be provided to a user. A search query may be received from the user. A query feature vector may be formed for the search query. The query feature vector may be compared with news feature vectors associated with documents related to current events. An augmented query feature vector may be formed based on results of the comparison of the query feature vector with the news feature vectors. The augmented query feature vector may be compared with feature vectors related to target documents. Search results that include target documents may be identified based on results of the comparison of the augmented query feature vector with the feature vectors related to the target documents. The user may be made able to perceive at least some of the identified search results.