Abstract: The invention relates to a search term recommendation method and system based on a multi-branch tree. The method comprise that steps that: A, a multi-branch tree term chain data generation process: splitting each hot term into a plurality of independent words, generating a term chain according to the sequence of the words from first to last in the hot term, each word is a node in the term chain, and nodes corresponding to the same word in different term chains are used as public nodes to generate multi-branch tree term chain data; B, a search term recommendation process: searching multi-branch tree term chain data accord to that currently input terms, taking a term chain that matches the inputted words as a recommended term.

Abstract: The invention relates to an electronic element supporting data inquiry method, a storage medium and a terminal. The method comprises: obtaining an initial series element code; splitting the initial series element code according to a preset splitting mode to obtain at least a sub-word; establishing a corresponding relationship between the sub-word and the electronic element supporting data and storing the corresponding relationship in a database. Receiving an electronic element identifier; extracting at least a sub-word corresponding to the electronic element identifier, wherein the sub-word is a part of the electronic element identifier; searching for a data tag corresponding to the sub-word, wherein the data tag comprises the sub-word; obtaining the electronic element supporting data corresponding to the data tag. Through the implementation of the invention, the workload in the database construction process is greatly reduced, and the maintenance cost is reduced.

Abstract: The invention relates to a multi-node word segmentation system and method for keyword search. A word distribution proxy server in that system is communication connection with each word segmentation node server respectively, receive a large number of words, and distributes each word to a corresponding word segmentation node server according to a preset word segmentation rule; the client proxy server is communication connection with each word segmentation node server respectively, receives terms to be searched uploaded by a user terminal, and distributes the terms to be searched to the corresponding word segmentation node servers according to a preset word segmentation rule; the segmentation node server inquires the words matched with the terms to be searched, and returns the words obtained by inquiry to the client proxy server; and that client proxy server sends the query words to a corresponding user terminal.

Abstract: The invention relates to a recommendation method for an internal service entity service entrance of a network platform. The method comprises the following steps of: S1, sending service keywords of each service entity as a word source of tokenizer to the tokenizer of a network platform; S2, sending a core corpus corresponding to each network content in the network platform to a tokenizer, wherein the core corpus is the core content of the network content; S3, carrying out word segmentation on that core corpus by the tokenizer, and matching with the service keywords after the word segmentation is completed; S4, if the participle of the core corpus is matched with the service keywords, setting a service entrance of the service entity corresponding to the matched service keywords in the network content corresponding to the core corpus.

Abstract: The invention relates to method for displaying the search results of the component e-commerce platform by classification. The method comprises the following steps of: S1, receiving a search keyword and sending the search keyword to a website server; S2, inquiring to obtain the data files containing the search keywords and gathering the data files with the same type labels into an aggregation column; S3, calculating the file weight value of each data file and sorting all the data files in each aggregation column from large to small according to the file weight value; S4, taking the maximum file weight value in each aggregation column as a column item weight value of the aggregation column, and all the aggregation column are sorted from large to small according to the column item weight values; and S5, sending the query results of the classification and sorting to a webpage for display by the website server.

Abstract: The invention relates to a multi-node word segmentation system and method for keyword search. A word distribution proxy server in that system is communication connection with each word segmentation node server respectively, receive a large number of words, and distributes each word to a corresponding word segmentation node server according to a preset word segmentation rule; the client proxy server is communication connection with each word segmentation node server respectively, receives terms to be searched uploaded by a user terminal, and distributes the terms to be searched to the corresponding word segmentation node servers according to a preset word segmentation rule; the segmentation node server inquires the words matched with the terms to be searched, and returns the words obtained by inquiry to the client proxy server; and that client proxy server sends the query words to a corresponding user terminal.

Abstract: The invention relates to an electronic element supporting data inquiry method, a storage medium and a terminal. The method comprises: obtaining an initial series element code; splitting the initial series element code according to a preset splitting mode to obtain at least a sub-word; establishing a corresponding relationship between the sub-word and the electronic element supporting data and storing the corresponding relationship in a database. Receiving an electronic element code; extracting at least a sub-word corresponding to the electronic element code, wherein the sub-word is a part of the electronic element code; searching for a data tag corresponding to the sub-word, wherein the data tag comprises the sub-word; obtaining the electronic element supporting data corresponding to the data tag. Through the implementation of the invention, the workload in the database construction process is greatly reduced, and the maintenance cost is reduced.

Abstract: The invention relates to a search term recommendation method and system based on a multi-branch tree. The method comprise that steps that: A, a multi-branch tree term chain data generation process: splitting each hot term into a plurality of independent words, generating a term chain according to the sequence of the words from first to last in the hot term, each word is a node in the term chain, and nodes corresponding to the same word in different term chains are used as public nodes to generate multi-branch tree term chain data; B, a search term recommendation process: searching multi-branch tree term chain data accord to that currently input terms, taking a term chain that matches the inputted words as a recommended term.