Abstract: The present disclosure discloses a method for preparing an anode material for lithium ion battery of a SiC nanoparticle encapsulated by nitrogen-doped graphene. The method includes: in an ammonia atmosphere, heating a SiC nanoparticle for a predetermined time, and cooling to obtain the SiC nanoparticle encapsulated by nitrogen-doped graphene.

Abstract: A method for obtaining trademark similarity is disclosed, and includes: obtaining character information of a first trademark and character information of a second trademark; constructing a feature information set according to the character information of the first trademark and the character information of the second trademark; and obtaining a degree of similarity between the first trademark and the second trademark based on the feature information set. By automatically constructing multiple pieces of feature information for evaluating trademark similarity, the method can quickly and accurately obtain a degree of similarity between trademarks, and at the same time, can also avoid the problems of manual design rules or inaccurate calculation of manual design rules.

Abstract: The present disclosure discloses a method for preparing an anode material for lithium ion battery of a SiC nanoparticle encapsulated by nitrogen-doped graphene. The method includes: in an ammonia atmosphere, heating a SiC nanoparticle for a predetermined time, and cooling to obtain the SiC nanoparticle encapsulated by nitrogen-doped graphene.

Abstract: The present application provides information pushing methods and systems. A demand object of a user is determined according to historical behavior data of the user, and user generated content (UGC) associated with the demand object of the user is pushed to the user, so that the pushed information is more credible. Further, the present application can be applied to an e-commerce website to increase users' purchasing power.

Abstract: A first search term input by a user is obtained. The first search term is matched with at least one keyword in a list such as an offline lists to select at least one keyword from the list. Each keyword in the list corresponds to at least one search recommendation respectively. A search recommendation corresponding to the at least one keyword selected from the offline list is obtained and provided to the user as a search recommendation of the first search term. For example, a historical user behavior relating to the keyword is obtained from a log record. A document generated by the historical user behavior is obtained. At least one candidate recommendations are obtained from text segmentation of the document. The present techniques provide a large range of selection of search recommendations, reduce a number of user searches, and further reduce search time and traffic.

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.

Abstract: Embodiments of the present disclosure provide methods and systems for processing and displaying online review data of products. In one implementation, a method for processing and displaying online review data may include: acquiring the review data of a target object in accordance with an access trigger instruction of a target user; determining whether an association relationship exists between the target user and a user corresponding to the review data in a pre-established multidimensional user relationship table; in response to the association relationship existing, acquiring the association relationship; and displaying an identifier of the association relationship. Embodiments consistent with the present disclosure optimize the display of review data of a target object, which can help a user better understand the target object, thereby improving the credibility of the review data of the target object and improving user experience.

Abstract: The present disclosure provides an information search navigation method and apparatus. The disclosed methods and apparatus operate using a process comprises the following steps: monitoring a user operation on a search result page; determining search words corresponding to the search result page when the operation satisfies the preset condition; acquiring and displaying the pre-generated guide information corresponding to the search words, wherein the guide information carries a plurality of keyword tags; and displaying the search result page corresponding to the keyword tags operated by the user. The server can display the guide information corresponding to the search words on the search result page, and also present a more accurate search result page to the user based on the user's keyword tags operation. This improves the efficiency of target information lookup.

Abstract: The present disclosure provides example methods and apparatuses of labeling product identifiers and methods of navigating products. Description information of one or more products is extracted. The description information of the products is clustered into a text. A subject analysis is applied to the text by using a text analysis method based on subject models to obtain one or more subjects and definition names for the subjects. A subject that is correlated to the description information of the product is used as an identifier of the product to label the product. The present techniques label the products with identifiers that have one or more user dimension attributes so that users may easily and intuitively find their desired products.

Abstract: A first search term input by a user is obtained. The first search term is matched with at least one keyword in a list such as an offline lists to select at least one keyword from the list. Each keyword in the list corresponds to at least one search recommendation respectively. A search recommendation corresponding to the at least one keyword selected from the offline list is obtained and provided to the user as a search recommendation of the first search term. For example, a historical user behavior relating to the keyword is obtained from a log record. A document generated by the historical user behavior is obtained. At least one candidate recommendations are obtained from text segmentation of the document. The present techniques provide a large range of selection of search recommendations, reduce a number of user searches, and further reduce search time and traffic.

Abstract: The present disclosure provides example methods and apparatuses of labeling product identifiers and methods of navigating products. Description information of one or more products is extracted. The description information of the products is clustered into a text. A subject analysis is applied to the text by using a text analysis method based on subject models to obtain one or more subjects and definition names for the subjects. A subject that is correlated to the description information of the product is used as an identifier of the product to label the product. The present techniques label the products with identifiers that have one or more user dimension attributes so that users may easily and intuitively find their desired products.

Abstract: The present disclosure provides techniques for commodity property navigation. These techniques may determine, by a computing device, current corresponding property information of any product node in a product information database, and corresponding property information of each commodity under the product node. The computing device may add the property information to be updated into the current corresponding property information of the product node when property information to be updated exists. The computing device may then perform commodity property navigation by using the updated current corresponding property information of the product node. Using techniques of the present disclosure, mining and navigation of novel commodity properties may be implemented automatically, therefore solving problems (e.g., failure for timely updating commodity properties) associated with existing techniques.