Dynamic Personalized Events Feed System for Real-Time Ticket Updates
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Solution Overview
Problem
Users face difficulties in accessing up-to-date and relevant event information, including event details, ticket availability, and social interactions related to events, due to the limitations of current social websites and search methods.
Innovation Solution
A dynamic personalized events feed system that uses filtering information such as past events attended, searches, location, and user preferences to generate and update a list of relevant events, including ticket information and social interactions, which is transmitted to user devices and can be shared with others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If event information is manually updated on social websites based on user content, then the system can operate with automated processing, but the information may not be up to date or complete
Solution Approach 1:
The system automatically updates event information by monitoring ticketing websites and event databases without requiring manual user input. The automated feed generator continuously queries external sources and updates the events feed based on retrieved information, making the system self-sufficient for information gathering and updating.
Solution Approach 2:
The system incorporates user feedback mechanisms where users can indicate interest in specific events or provide corrections. This feedback is processed to refine future information retrieval and update the events feed with more accurate and relevant information.
2Productivity
If a social network relies on user-provided content, then the platform can launch quickly, but the content will be empty when new users join
Solution Approach 1:
The system pre-populates the events feed with information retrieved from external ticketing websites and event databases before users arrive or as they join the platform. This preliminary content population ensures that new users immediately find relevant event information without the platform being empty.
Solution Approach 2:
The system serves multiple functions: it acts as both a social platform and an automated event information aggregation system. By pulling content from external sources, it provides universal event information that benefits all users regardless of their contribution level, solving the cold-start problem.
3Ease of operation
If users search for event information manually, then they can find specific events, but they must perform multiple searches to find tickets and availability
Solution Approach 1:
The system merges multiple information sources (event details, ticket availability, venue information, social connections) into a single integrated events feed. Users access all relevant information in one location rather than performing multiple separate searches across different websites or platforms.
Solution Approach 2:
The automated feed generator acts as an intermediary between external event data sources and users. It retrieves, processes, and presents consolidated event information including ticket availability and social connections, eliminating the need for users to manually navigate multiple sources.
4Device complexity
If event information is provided without social context, then the information is simple to provide, but users cannot see if friends are attending
Solution Approach 1:
The system adds a social dimension to event information by integrating user connection data with event attendance information. The events feed not only displays basic event details but also indicates which of the user's connections are attending or have attended events, creating a multi-dimensional view that combines event data with social graph information.
Data Source
AI summary
A device and method for generating a dynamic personalized events feed that is personalized for a user is provided. The device may include one or more processors configured to determine events that match filtering information, generate the dynamic personalized events feed based on the determined events, and update the generated dynamic personalized events feed based on the determined events. The device may also include a network interface component coupled to a network, the network interface component configured to receive the filtering information, and transmit the generated dynamic personalized events feed to a user device. The device may further include a memory, the memory storing event information and user information for determining events that match the filtering information.