Abstract: A method including acquiring a product title and extracting at least one descriptor from the product title; acquiring weight values of users for the at least one descriptor respectively, the weight values being obtained by calculation according to historical behavior data of the users; selecting a reconstruction descriptor from the at least one descriptor according to the weight values; and generating a reconstructed title of the product title by using the reconstruction descriptor. By using the example embodiments of the present disclosure, personalized reconstructed titles are customized for different users, thus improving the efficiency of finding preferred products by the users through searching.

Abstract: An example method for generating a prompting keyword may include receiving a target search keyword sent by a client terminal and determining a target scene keyword corresponding to the target search keyword. The target scene keyword may indicate an application scenario of an object corresponding to the target search keyword. The method may further include obtaining, based on the target scene keyword, a target prompting keyword corresponding to the target scene keyword to ensure to generate target prompting keywords more comprehensive and effectively help users to improve search efficiency.

Abstract: The present application provides methods, systems, and electronic devices for generating and presenting data object description information. The generation method includes: obtaining an evaluation information set of a data object; extracting at least one current feature word set and at least one current sentiment word set from the evaluation information set; determining a representative feature word of each current feature word set respectively; determining a representative sentiment word corresponding to each representative feature word respectively according to a sentiment word associated with a feature word in each current feature word set; and generating description information based on at least one representative feature word and a respective corresponding representative sentiment word.