Context-Aware Mobile Content Reordering System

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Solution Overview

Problem

Mobile devices provide a less-than-satisfactory search and content consumption experience due to limited screen real estate and the need for tailored information that adapts to the user's current environment and interests, which existing technologies fail to adequately address.

Innovation Solution

The system personalizes mobile content consumption by incorporating contextual information, social relations, and historical data to reorder search results and create dynamic information feeds on a mobile device, using metadata to enhance user interactions and deliver relevant content and advertisements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional web page browsing interaction is translated to mobile environment, then content consumption is enabled on mobile devices, but user experience becomes less-than-satisfactory due to limited screen real estate and lack of personalization

Engineering Contradiction:

Improvecontent personalizationVSAvoiduser experience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system dynamically reorders search results and content based on user context, environment, and historical data. The mobile device adapts content delivery in real-time by analyzing current user state and adjusting result rankings, transforming static search results into dynamic, personalized content streams that evolve with user behavior and context.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system applies different personalization strategies to different portions of search results based on user profile, context, and content type. Rather than uniformly treating all results, the system selectively reorders specific results based on their relevance to user interests, environmental factors, and historical behavior patterns.

Inventive Principle:

Principle #3Local quality

2Adaptability or versatility

If search results are manually configured on mobile devices, then users can receive customized information, but users must have time, energy, and technical skills to set up configurations

Engineering Contradiction:

Improveinformation customizationVSAvoidconfiguration time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically configures and reorders search results without requiring user intervention. By analyzing user profile data, environmental context, and historical behavior, the system self-adjusts content delivery and result ranking, eliminating the need for manual configuration while maintaining high levels of personalization.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-processes and pre-ranks search results based on user profile and historical data before presentation. By performing configuration actions in advance based on accumulated user data, the system prepares personalized content streams proactively rather than reactively, reducing the need for real-time user configuration efforts.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If advertisers deliver advertising material with search engine results, then advertisers can reach target audience, but advertisers have limited ability to reach users when not searching and users receive generic advertisements

Engineering Contradiction:

Improveadvertising targetingVSAvoidadvertising relevance

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system continuously monitors user interactions with search results, content, and advertisements, using this feedback to refine and update user profiles and preference models. This feedback loop enables the system to progressively improve advertising relevance by learning from actual user behavior patterns and adjusting content delivery strategies accordingly.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts advertising parameters such as content selection, timing, and delivery based on changing user context, environment, and behavior patterns. By modifying advertising delivery parameters in real-time based on accumulated user data, the system transforms static advertisement delivery into a dynamic, context-aware process that adapts to user needs.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8140566B2Open framework for integrating, associating, and interacting with content objects including automatic feed creation

Publication Date: 2012.03.20 YAHOO AD TECH LLC

AI summary

Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.