Mobile Document Ranking via Non-Mobile Correlation
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Solution Overview
Problem
The challenge in mobile data communication is that mobile devices, with limited resources, struggle to access and display non-mobile web documents effectively due to lower resolution, smaller displays, and limited bandwidth, leading to inadequate search results on the mobile web, which lacks the necessary ranking factors and content for accurate document relevance.
Innovation Solution
The system identifies correlations between mobile and non-mobile documents, using a ranking indicator from the non-mobile document to rank mobile documents, ensuring that mobile documents are ranked accurately even if they are not popular enough on their own, by leveraging back link information and other relevance indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile devices access the entire mobile web, then users gain broader access to information, but search accuracy deteriorates due to insufficient ranking factors and content
Solution Approach 1:
The patent uses non-mobile web documents as an intermediary source to provide ranking factors for mobile search. The system correlates mobile documents with their non-mobile counterparts and transfers ranking information from the non-mobile version to improve mobile search accuracy, effectively using the more developed non-mobile web as a mediator to solve the ranking factor deficiency in the mobile web.
2Reliability
If mobile documents are ranked independently, then mobile search maintains document-specific relevance, but ranking accuracy deteriorates due to lack of popularity data and ranking factors
Solution Approach 1:
The patent merges the ranking systems of mobile and non-mobile web documents. By correlating mobile documents with their non-mobile counterparts through URL matching and content comparison, the system combines the mobile document's specific relevance with the non-mobile document's established ranking factors and popularity data, creating a hybrid ranking approach that overcomes the limitations of independent mobile ranking.
3Ease of operation
If mobile documents are made smaller for device compatibility, then devices can display documents effectively, but searchability deteriorates due to reduced text and content
Solution Approach 1:
The patent adds a new dimension to mobile document search by incorporating data from the non-mobile web version. Instead of relying solely on the limited content within the mobile document, the system enriches the search index by including content from the corresponding non-mobile document, effectively adding a second source of information that compensates for the content reduction necessary for mobile display compatibility.
Data Source
AI summary
A computer-implemented method of determining the relevance, to a user, of documents accessible over a computer network involves analyzing information relating to a first document, identifying a second document corresponding to the first document using a computer, obtaining information that indicates the relevance of a second document, determining the relevance of the first document using the information indicating relevance of the second document. The first document may be a mobile document, while the second may be a non-mobile document.