Information Server Ranking User Preferences via Search Keyword Extraction

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional technologies for providing user-preferred information are limited to video media and do not accurately reflect user preferences, as they only analyze view and operation history related to video content.

Innovation Solution

An information providing system and method that includes a server connected to a video recorder and client terminal, which stores and processes user-specific keywords and search phrases to generate ranking information that accurately reflects user preferences by extracting high-frequency words from search phrases and matching them with recorded content keywords.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If user preference is analyzed based on video media operation history, then information can be provided related to video content, but the analysis does not correctly reflect user preference because it is limited to video media only

Engineering Contradiction:

Improveaccuracy of user preference reflectionVSAvoidscope of media types analyzed

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system extends the preference analysis from video media only to multiple media types including web pages, images, and other content. The server collects and analyzes operation histories across different media types to generate comprehensive user preference data, allowing accurate reflection of user preferences regardless of media type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system adds new dimensions to the analysis by incorporating non-video media types into the preference analysis framework. Instead of limiting analysis to video operation history, the system now processes operation histories from web browsers, image viewers, and other applications, expanding the analytical scope to multiple content dimensions.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Loss of information

If only video media operation history is collected, then the system remains simple to implement, but it cannot provide comprehensive information that accurately reflects diverse user preferences

Engineering Contradiction:

Improvecompleteness of user preference informationVSAvoidcomplexity of information collection system

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The server acts as an intermediary that collects operation histories from multiple applications and media types, then processes and analyzes this diverse data to generate unified user preference information. This intermediary approach allows comprehensive information collection while maintaining system organization through centralized processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system merges operation histories from different media types (video, web pages, images) into a unified preference analysis framework. By combining and processing diverse operation data through the server, the system achieves comprehensive user preference information while managing complexity through integration.

Inventive Principle:

Principle #5Merging (Combining)

3Measurement precision

If the system analyzes only video content operations, then processing is fast and simple, but it fails to capture user preferences for non-video content

Engineering Contradiction:

Improveaccuracy of preference analysisVSAvoidspeed of preference analysis processing

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The server performs preliminary collection and storage of operation histories from multiple media types before analysis. By pre-processing and organizing diverse operation data, the system prepares comprehensive preference information in advance, enabling accurate analysis while managing processing speed through efficient data organization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces simple video-only processing with a more comprehensive data processing mechanism that handles multiple media types. Through sophisticated data collection and analysis algorithms, the system achieves accurate preference analysis across diverse content types while maintaining acceptable processing performance.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS7904452B2Information providing server, information providing method, and information providing system

Publication Date: 2011.03.08 HISENSE VISUAL TECH CO LTD

AI summary

According to one embodiment, a record information storage module stores record information related to content recorded by an external apparatus in association with a keyword representing the content and user information. A search information storage module stores a search phrase used for searching in an external apparatus in association with user information. A search word handler extracts a predetermined number of words having high search frequency from search phrases stored in association with specific user information to generate a word list. A record information handler extracts keywords stored in association with the specific user information to generate a keyword list. A ranking processor generates ranking information indicating a word in the word list which matches a keyword in the keyword list. A communicator provides the ranking information to an external apparatus corresponding to the specific user information.