Abstract: A method of retrieving a query, an electronic device, and a medium are provided, which relate to fields of intelligent searching, intelligent recommendation, natural language processing, etc. The method of retrieving a query includes: processing a query to be retrieved, so as to obtain a first processing result for the query to be retrieved, the first processing result containing a first text information and a first semantic information; comparing the first processing result with a second processing result of each of at least one candidate query, so as to obtain a comparison result, the second processing result containing a second text information and a second semantic information; determining a target query from the at least one candidate query based on the comparison result; and determining at least one of the target query or an answer corresponding to the target query as a retrieving result.

Abstract: A method for pushing information, and an electronic device are disclosed. The method includes: obtaining a plurality of initial pages containing document content; predicting, based on the document content in the plurality of initial pages, an effective rate for pushing information using each initial page; selecting, based on the effective rate, at least one candidate page from the plurality of initial pages and extracting a first keyword from the document content of the at least one candidate page; and determining a target page for mounting information to be pushed from the at least one candidate page, based on a matching degree between a second keyword of the information to be pushed and the first keyword.

Abstract: Provided are a knowledge content distribution method, an electronic device, and a storage medium. The method includes the following. An acquisition request sent by a distribution waiting user for target knowledge content is received, where the acquisition request carries at least an identifier of the target knowledge content. In response to the acquisition request, the target knowledge content is acquired according to the priority of each author of the target knowledge content in terms of the target knowledge content. The target knowledge content is distributed to the distribution waiting user.

Abstract: The disclosure provides a search method and apparatus, an electronic device, a storage medium, and a program product. The disclosure relates to the field of Internet technology, and in particular to the field of intelligent search technology. The method includes: obtaining search information; outputting information of a target media object, wherein, search key information of the target media object matches the search information, and the search key information of the target media object matches category key information of a target category, and the target media object belongs in the target category.

Abstract: A method of retrieving a query, an electronic device, and a medium are provided, which relate to fields of intelligent searching, intelligent recommendation, natural language processing, etc. The method of retrieving a query includes: processing a query to be retrieved, so as to obtain a first processing result for the query to be retrieved, the first processing result containing a first text information and a first semantic information; comparing the first processing result with a second processing result of each of at least one candidate query, so as to obtain a comparison result, the second processing result containing a second text information and a second semantic information; determining a target query from the at least one candidate query based on the comparison result; and determining at least one of the target query or an answer corresponding to the target query as a retrieving result.

Abstract: A method for pushing information, and an electronic device are disclosed. The method includes: obtaining a plurality of initial pages containing document content; predicting, based on the document content in the plurality of initial pages, an effective rate for pushing information using each initial page; selecting, based on the effective rate, at least one candidate page from the plurality of initial pages and extracting a first keyword from the document content of the at least one candidate page; and determining a target page for mounting information to be pushed from the at least one candidate page, based on a matching degree between a second keyword of the information to be pushed and the first keyword.

Abstract: A method and apparatus for entering information are provided. The method includes: clustering acquired to-be-identified materials to obtain a question-and-answer material; performing corpus-processing on the question-and-answer material to obtain a question-and-answer corpus pair, the question-and-answer corpus pair comprising at least one question and an answer to each question of the at least one question; performing title determination on the question-and-answer corpus pair to obtain at least one title and an answer corresponding to each title of the at least one title; and storing the at least one title and an answer corresponding to each title of the at least one title in a question bank in a structured manner.

Abstract: A method of recommending content, an electronic device, and a computer-readable storage medium, relate to a field of artificial intelligence, especially a field of intelligent recommendation. The method includes: determining a target content from candidate contents based on a query of a user, the candidate contents being determined based on a content-related user attention; determining an estimated user cost for acquiring the target content, based on a historical click-through rate for the target content, a historical conversion rate for the target content, and a historical user cost for acquiring the target content; determining one or more recommendation scores for the target content based on the estimated user cost; and recommending a content to the user based on the one or more recommendation scores.

Abstract: A method of managing a digital content, a device, and a readable storage medium, relate to a field of data processing, and in particular to intelligent search and big data. The method includes: determining a set of attributes of a use voucher for a target digital content based on a content feature of the target digital content and a user feature of a user associated with the target digital content; determining an initial value of an indication parameter associated with a use of the use voucher based on the attribute values of the set of attributes; transmitting the initial value to acquire an indication of whether to use the use voucher or not; adjusting the attribute values of the set of attributes so as to determine a target value of the indication parameter, in response to receiving an indication of using the use voucher.

Abstract: A method for search in a structured database comprises: receiving a search request input by a user, the search request including a plurality of search terms; searching the plurality of search terms in the structured database where a plurality of documents are stored in a structured manner; displaying at least one search result matching the plurality of search terms, wherein the at least one search result may be at least one document in the plurality of documents; receiving a selection on a search result in the at least one search result and displaying a document corresponding to the selected search result and document hit content, wherein the document hit content comprises at least one word matching the plurality of search terms and a context of the at least one word; and receiving a selection on a word in the at least one word and highlighting the word.

Abstract: A content recommendation method, a device, and a storage medium are provided, which are related to technical fields of knowledge graph, big data, and the Internet. The specific implementation scheme includes: determining, among candidate producers, a target producer to whom a private domain content recommendation is performed according to product information of the candidate producers; establishing a recommended product set according to correlation among product information of the target producer; and performing a private domain content recommendation to the target producer based on the recommended product set.

Abstract: The present disclosure provides a method for evaluating a knowledge content, an electronic device and a storage medium, and relates to a field of knowledge content evaluating technologies. The method includes: obtaining a knowledge content; obtaining an evaluation parameter of the knowledge content, in which the evaluation parameter includes demand intensity information, author authority information, and scarcity degree information of the knowledge content; and generating an evaluation value of the knowledge content according to the evaluation parameter.

Abstract: The present application provides a document type recommendation method and apparatus, an electronic device and a readable storage medium, and relates to the fields of big data technology. Specific implementation scheme includes: obtaining a to-be-classified document; determining a target document content category corresponding to the to-be-classified document; obtaining a target document type of the to-be-classified document by using a pre-built document classification model and the target document content category, where the document classification model represents mapping relationship between a first object and a document type, the first object includes document content category and document feature parameters, the document feature parameters under the target document type meet preset requirement; recommending the target document type.