Multi-channel search results reordering by timeline and channel relevancy
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Solution Overview
Problem
In enterprise multi-channel communication systems, users face difficulties in finding relevant information as discussions across multiple groups can lead to a single topic being spread across multiple channels, requiring users to search multiple channels for a resolution.
Innovation Solution
A multi-channel search system that receives a specific post selection, extracts query text, and evaluates potential matching posts based on ranking factors such as user information, channel relevance, and topic, displaying two-dimensional search results ordered by timeline and channel relevancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users search multiple channels to find information about a single topic, then information completeness is improved, but search time and operational complexity increase
Solution Approach 1:
The patent merges multiple channel searches into a single unified search operation. The system combines search results from multiple channels and presents them in a single consolidated view, allowing users to find information across channels without manually searching each channel separately. This resolves the contradiction by maintaining information completeness while reducing search time.
Solution Approach 2:
The search system is designed to universally search across multiple channels simultaneously. A single search query can traverse and retrieve information from any channel within the system, making the search function multi-channel capable rather than channel-specific. This allows users to maintain comprehensive information retrieval while reducing operational steps.
2Loss of information
If users manually search through multiple channels, then information retrieval completeness is improved, but ease of operation deteriorates
Solution Approach 1:
The system combines multiple channel search operations into a single unified interface. Users initiate one search that automatically queries multiple channels and aggregates results, eliminating the need to manually navigate through each channel. This maintains complete information retrieval while significantly improving ease of operation.
Solution Approach 2:
The search system automatically performs the multi-channel search operation without requiring user intervention to manually check each channel. The system self-manages the complexity of searching across multiple channels by automatically querying, retrieving, and organizing results from all relevant channels in response to a single user query.
3Productivity
If search results are presented without reordering, then processing speed is improved, but information relevance deteriorates
Solution Approach 1:
The system performs preliminary sorting and reordering of search results based on relevance criteria before presenting them to users. By pre-organizing results according to relevance metrics, the system ensures that the most pertinent information appears first, improving information relevance while maintaining efficient processing through automated ranking algorithms.
Data Source
AI summary
A method for a multi-channel search includes receiving a specific post selection submitted in a first channel and query text associated with the specific post in the first channel, where the query text includes one or more words for performing a query evaluation. The method receives a query location which includes a plurality of channels for performing the query evaluation. Responsive to extracting one or more ranking factors from the specific post selection, the method performs the query evaluation at the query location to collect a plurality of potential matching posts based on the one or more ranking factors. The method reorders the plurality of potential matches according to a plurality of determined scores for the plurality of potential matches. The method displays two-dimensional search results based on a timeline and channel relevancy, where the plurality of channels is ordered according to channel relevancy compared to the first channel.