Keyword-Matched RSS Article Display for Program Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information processing systems fail to select programs that are interesting to users and reflect current topics of conversation, as they rely solely on program information without considering subjective user interests or popular discussions on bulletin boards and Weblogs.
Innovation Solution
An information processing apparatus that extracts keywords from program information and article information in RSS format, ranks them, and displays relevant article information alongside program images, allowing users to select programs based on current topics of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If program information alone is used to select programs, then the selection process is simple, but the selected programs do not reflect user interests or current topics of conversation
Solution Approach 1:
The patent merges program information with article information from RSS feeds by extracting and matching keywords between the two data sources. This combination allows the system to select programs that are both relevant to current topics of conversation and accurately reflect user interests, resolving the contradiction between selection accuracy and processing complexity.
Solution Approach 2:
Keywords serve as an intermediary element that bridges program information and article information. The system extracts keywords from both sources, ranks them by frequency, and uses these keywords as the basis for selecting programs that align with current topics, thereby improving adaptability without requiring direct complex integration of all information.
2Loss of information
If only program information is analyzed, then processing is straightforward, but the system cannot identify programs that are current topics of conversation
Solution Approach 1:
The system performs preliminary extraction of keywords from article information in RSS feeds before program selection. By pre-processing the article information to identify and rank keywords, the system prepares the current topic information in advance, making it readily available for program matching without adding complexity to the core selection process.
Solution Approach 2:
The patent extracts keywords from article information as a separate, identifiable element that can be independently processed and ranked. This extraction allows the system to isolate current topic information from the broader article content, enabling efficient matching with program information while maintaining manageable system complexity.
3Adaptability or versatility
If keywords are extracted and ranked from multiple sources, then program selection reflects user interests, but the processing time increases
Solution Approach 1:
The system changes the parameter of keyword frequency by ranking keywords based on how often they appear in article information. This parameter transformation allows the system to efficiently identify current topics and user interests without requiring complex analysis of entire articles, thereby reducing processing time while maintaining personalized content selection capability.
Data Source
AI summary
An information processing apparatus which allows a user to select information on a predetermined program as programs interesting to the user and current topics of conversation. The information processing apparatus includes: a first selection section for extracting a keyword from program information of a predetermined program selected from at least one of a program being received and a recorded program, and selecting article information including the same keyword as the extracted keyword among article information described in an RSS format and being delivered to a user; and a display controller for displaying the article information selected by the first selection section simultaneously with an image of the predetermined program.