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A method and device for aggregation of search results based on artificial intelligence
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A technology of search results and artificial intelligence, applied in the field of aggregation of search results, can solve the problems of incomplete query words and low search quality, and achieve the effect of overcoming the barriers of language meaning
Active Publication Date: 2021-06-04
山东省科院易达信息科技有限公司
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[0005] The present invention provides an artificial intelligence-based search result aggregation method for directly recommending pages by using the first attribute in the query word, and solves the technical problem in the related art that the search quality is not high due to the incomplete query word input by the user
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Embodiment 1
[0098] The recommendation result is a recommended word, and the page list can be obtained by obtaining the pages associated with the recommended word.
[0099] The page associated with the recommended word may be that the content tag contained in the page contains the recommended word.
[0100] It is also possible to perform the following retrieval in the page storage database, which specifically includes the following steps:
[0101] Each page has at least one content tag, and pages with the same content tag as the recommended word are extracted;
[0102] For example, the tourism map page has the content label of "travel", the tourism product page also has the content label of "travel", and the tourism hotel page also has the content label of "travel".
[0103] Therefore, according to multiple specific requirements that may be included in the recommended words, in order to match the user's requirements as much as possible, the embodiments of the present invention further pro...
Embodiment 2
[0119] The recommended results are recommended pages, and the recommended pages are directly summarized to obtain a page list.
[0120] The page lists obtained in Embodiment 1 and Embodiment 2 can be mixed to obtain a new page list and processed to obtain the final recommended page list.
[0121] Search and recommend based on the index to obtain the page list corresponding to the recommendation result and process it to obtain the final recommended page list including:
[0122] The page list corresponding to the recommendation result obtained by searching and recommending the recommended method on the basis of the index
[0123] The final recommended page list is obtained based on collaborative filtering recommendation or graph model-based recommendation or association rule-based recommendation.
[0124] For example, the page list corresponding to the recommendation result obtained by searching and recommending based on the index is recommended based on collaborative filtering...
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Abstract
The invention discloses an aggregation method of search results based on artificial intelligence, which receives query words input by users from an interactive interface; judges the attributes of the query words input by users, and the attributes of the query words include vowel attributes and non-element sound attribute; select a corresponding recommendation method based on the attribute of the query word, and the recommendation method includes a recommendation method for searching and recommending on the basis of an index and a recommendation method for recommending on a non-index basis; get the page through the recommendation result list, and process the page list to obtain the final recommended page list, that is, the aggregation of search results; the present invention uses the vowel elements in the query words to obtain the recommendation results and aggregate the corresponding page recommendations. In the case of incomplete query words In some cases, the page recommendation and aggregation are performed through the vowel elements of the query words to obtain high-quality search results.
Description
technical field [0001] The present invention relates to a search method, and more specifically, it relates to a method for aggregating search results based on vowels. Background technique [0002] With the popularization of the Internet, the information on the Internet is becoming more and more abundant, and now people can easily obtain the information they want through search engines. The user can set the search term by himself, so that the search engine can search according to the search term and return the search result to the user. [0003] The so-called search engine is a search technology that uses specific strategies to retrieve and formulate information from the Internet and feed back to users according to user needs and certain algorithms. Search engines rely on a variety of technologies, such as web crawler technology, retrieval and sorting technology, web page processing technology, big data processing technology, natural language processing technology, etc., to ...
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