Search result optimization method
A search result and document technology, applied in the search field, can solve the problems that users cannot obtain quickly, accurately and conveniently, and achieve the effect of reducing search time and improving search efficiency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0031] FIG. 1 is a schematic diagram of optimizing search results in Embodiment 1. As shown in Figure 1, the process of optimizing search results includes the following steps:
[0032] In step 101, search results are obtained according to keywords input by the user.
[0033] Search results include web page type documents and other types of documents whose content can be obtained. Assuming that the search results include N documents, use d respectively 1 , d 2 ,...,d i ,...,d j ,...,d N express.
[0034] In addition, the keyword input by the user may be one or more.
[0035] Step 102, for the search result documents, calculate the similarity between the documents.
[0036] In this step 102, to calculate the similarity between two documents, it is first necessary to obtain all the words contained in each document, and then calculate the similarity between two documents according to the words contained in each document.
[0037] Here, the words contained in the document ...
Embodiment 2
[0073] FIG. 3 is a schematic diagram of optimizing search results in the second embodiment. Compared with Embodiment 1, in Embodiment 2, a document similarity graph is established based on document content. The process of optimizing the search results will be described below with reference to FIG. 3 , but the same steps as in Embodiment 1 will not be described in detail.
[0074] In step 301, search results are obtained according to keywords input by the user.
[0075] Step 302, for the search result documents, calculate the similarity between any two documents.
[0076] Step 303, for the documents of the search results, a similarity relationship graph of the documents is established based on the similarity between the documents.
[0077] The similarity graph described in this step uses the search result documents as nodes in the similarity graph, and uses the similarity between two documents as the weight between corresponding nodes in the similarity graph. Here, the simil...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com