Topic Recommendation System for Conference Mobile Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Attendees at large conferences face difficulties in determining which presentations to attend due to the overwhelming number of sessions and the time-consuming process of searching for topics of interest, especially on mobile devices with limited screen size.
Innovation Solution
A system for topic recommendation that includes a user interface and engines for text analysis, indexing, and display, which allows users to search for topics and presentations based on interest keywords, displaying relevant topics in a text cloud with adjusted sizes and dynamically updating as the event progresses, enabling easier identification of relevant content on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If attendees manually search and plan schedules to find presentations of interest, then they can identify relevant content, but the process becomes time-consuming and difficult
Solution Approach 1:
The system performs preliminary text analysis on all presentation topics, abstracts, and descriptions before the conference begins. This pre-processing creates an indexed database that enables rapid searching during the event, eliminating the need for attendees to manually analyze each presentation in real-time.
Solution Approach 2:
The patent introduces an intermediary system comprising text analysis engines, indexing mechanisms, and recommendation algorithms that mediate between the large volume of presentation data and the attendee's search needs. This intermediary automatically processes and organizes information, allowing attendees to quickly find relevant presentations without manual effort.
2Loss of information
If the system displays all topics and presentations, then complete information is available, but it becomes overwhelming and difficult to identify relevant content
Solution Approach 1:
The system extracts and highlights only the most relevant topics and presentations based on the attendee's interests and search criteria. Rather than displaying all available information, it selectively presents the most pertinent content, making it easier for attendees to identify what matters to them without being overwhelmed by the complete dataset.
Solution Approach 2:
The patent applies different display qualities and priorities to different pieces of information based on their relevance to the attendee's interests. Topics and presentations that closely match the attendee's profile are prominently displayed with enhanced visibility, while less relevant items are de-emphasized or hidden, creating a differentiated information hierarchy.
3Adaptability or versatility
If the conference has a large number of presentations, then diverse content is available, but searching becomes more difficult and time-consuming
Solution Approach 1:
The system segments the large volume of presentations into organized categories, topics, and clusters based on textual analysis. By dividing the comprehensive presentation list into manageable segments grouped by theme or relevance, the system maintains access to diverse content while simplifying the search process through structured organization.
Solution Approach 2:
The patent changes the parameters of information presentation by transforming unstructured presentation data into indexed, tagged, and categorized formats. This parameter transformation enables efficient filtering and searching across diverse content without requiring attendees to navigate through the raw complexity of all presentations.
Data Source
AI summary
In one implementation, a system for topic recommendation includes an information engine receives topic information relating to a number of events. In addition, the system includes an analysis engine performs a text analysis on the received topic information. In addition, the system includes an index engine indexes the topic information based on the text analysis. In addition, the system includes a display engine compares a search term to the indexed topic information and displays a number of topics on a display of a mobile device, wherein the number of topics are displayed in a size that corresponds to a quantity of topic information associated with each of the number of topics.


