Search Term Identification Using Social Network Messages
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Finding relevant information on the internet and linking social network messages with appropriate web content is challenging due to the vast amount of available data and the limited nature of social network messages.
Innovation Solution
A system and method that generate a word list from web page content, identify relevant terms, and combine them with terms from social network messages to create an updated list, using techniques like static and dynamic phrase expansion to improve search results by scoring and filtering terms based on uniqueness and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If social network messages are used to identify relevant terms, then the relevance and uniqueness of search terms is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the term identification process into multiple stages: generating an initial list of relevant terms from web page content, then separately identifying additional relevant terms from social network messages, and finally combining both lists. This segmentation allows the system to leverage social network data for improved relevance while managing complexity through modular processing steps.
Solution Approach 2:
The patent introduces an intermediary processing layer that mediates between web page content and social network messages. This intermediary system generates initial relevant terms from web pages, uses them to query social networks, and then integrates the results. The intermediary structure enables the system to handle the complexity of social network data integration without directly coupling web page analysis with message processing.
2Loss of information
If messages from social networks are analyzed, then additional relevant information is obtained, but the time required for processing increases
Solution Approach 1:
The system performs preliminary actions by first generating an initial list of relevant terms from web page content before querying social networks. This preliminary term list is then used to efficiently query social networks for additional relevant terms. By preparing the initial term list in advance, the system reduces the time required for social network querying and processing, as the queries are focused and targeted rather than broad and unstructured.
Solution Approach 2:
The patent applies partial action by selecting only the most relevant terms from social network messages rather than processing all messages comprehensively. The system identifies additional relevant terms based on the initial list and combines them selectively, avoiding the need to analyze every social network message in detail. This partial processing approach maintains information completeness for key terms while significantly reducing overall processing time.
3Reliability
If comprehensive term lists are generated from multiple sources, then the quality of search results is improved, but the complexity of term processing increases
Solution Approach 1:
The system merges term lists from two distinct sources: initial relevant terms extracted from web page content and additional relevant terms identified from social network messages. The merging process combines these lists into a comprehensive term list that leverages the strengths of both sources. This combining approach improves search result quality by incorporating diverse term sources while managing processing complexity through systematic integration rather than ad-hoc consolidation.
Solution Approach 2:
The patent implements feedback mechanisms where the initial list of relevant terms from web pages is used to query social networks, and the results from social networks feed back into an updated comprehensive term list. This feedback loop allows the system to continuously refine and improve the term list quality by incorporating relevant information from multiple sources. The feedback process manages complexity by using the initial terms as a foundation and systematically adding refined additions from social network analysis.
Data Source
AI summary
Systems and methods for retrieving social network messages and/or web pages in response to search queries are described. One embodiment of the invention includes generating a word list from at least a portion of the content of the web page using a web and message server system, generating an initial list of relevant terms based upon the word list using the web and message server system, identifying additional relevant terms using messages posted to at least one social network based upon the initial list of relevant terms, and creating an updated list of relevant terms by using the web and server system to combine terms in the initial list of relevant terms with the additional relevant terms identified using messages posted to at least one social network.