Abstract: The present disclosure provides an information search method, apparatus, and system. The information search method includes: a search word sent by a user by using a client is received; search intention of the user is recognized according to feature information of the search word and/or search context feature information; search is performed by using a search policy corresponding to the recognized search intention and according to the search word to acquire information search results associated with the search word; and the information search results are sent to the client, so that the client displays the information search results.

Abstract: A recommendation reason generation method is disclosed in the present disclosure, including: obtaining, according to search data of a target user, at least one recalled result for the search data; and obtaining a recommendation reason of each recalled result by using a preset intelligent question answering model according to the search data, the at least one recalled result, and a target user profile of the target user. The intelligent question answering model is a first machine learning model obtained through training according to at least one sample question answering data combination, and the sample question answering data combination includes: a sample user profile and historical comment data of at least one sample user, a recommendation object corresponding to the historical comment data, and historical search data of the sample user for the recommendation object.

Abstract: An article generation method and device, and a computer storage medium. According to an example of the method, after a content source is mined based on requirement information inputted by a user, at least one topic dimension vector may be extracted from the mined content source by using a particular topic generation model. Then, for each extracted topic dimension vector, topic sentence mining is performed on the content source according to the topic dimension vector, to obtain topic sentences corresponding to the topic dimension vector. Finally, the topic sentences corresponding to the at least one topic dimension vector are spliced and synthesized, to generate an article conforming to the requirement information.

Abstract: The present disclosure provides an information search method, apparatus, and system. The information search method includes: a search word sent by a user by using a client is received; search intention of the user is recognized according to feature information of the search word and/or search context feature information; search is performed by using a search policy corresponding to the recognized search intention and according to the search word to acquire information search results associated with the search word; and the information search results are sent to the client, so that the client displays the information search results.

Abstract: An article generation method and device, and a computer storage medium. According to an example of the method, after a content source is mined based on requirement information inputted by a user, at least one topic dimension vector may be extracted from the mined content source by using a particular topic generation model. Then, for each extracted topic dimension vector, topic sentence mining is performed on the content source according to the topic dimension vector, to obtain topic sentences corresponding to the topic dimension vector. Finally, the topic sentences corresponding to the at least one topic dimension vector are spliced and synthesized, to generate an article conforming to the requirement information.

Abstract: A method for determining a summary of user-generated content. In an embodiment, the method includes: determining a plurality of sequentially arranged sentences included in user-generated content; then, determining a quality score of each sentence; and finally, determining a sentence group having the highest quality score as a summary of the user-generated content according to a constraint condition of a maximum summary character length and the quality score of each sentence, where sentences included in the sentence group are consecutive.

Abstract: This application provides a recommendation information obtaining method. The method includes: obtaining to-be-displayed suggest information; constructing a label pool based on the suggest information and a preset label knowledge map; and selecting a preset number of labels from the label pool and recommending the preset number of labels to a user. The label knowledge map is one in which multi-dimensional information of a core word is described based on the core word using a label.