Abstract: The present disclosure discloses a method and a system of displaying cross-website information. The method includes obtaining, by a first server of a first website, product information under a category of at least one desired product of a first user. Next, the first server obtains information of similar product units under a product category of a second server, where a similar product unit includes a set of displayable products. The first server then computes degrees of similarity between the product information under the category of the at least one desired product and respective product information of the similar product units. For the product information under the category of the at least one desired product, the first server selects a predetermined number of top similar product units in a descending order of the degrees of similarity, and renders products included in the predetermined number of top similar product units as products to be displayed.

Abstract: A method and system for determining products to recommend to a user is disclosed. One or more correlated products which are correlated to a product the user is currently interested in are determined. In the event that the number of one or more correlated products is less than the number of recommended products needed, one or more supplemental products are determined. The one or more supplemental products are determined based on a pay-for-performance measure based on pay-for-performance information and a non-pay-for-performance measure not based on pay-for-performance information. A set of recommended products is formed from the determined one or more correlated products and the determined one or more supplemental products and information pertaining to the set of recommended products is outputted.

Abstract: Determining which product information to send to a user based on a determined preference value is disclosed, including: determining pieces of user action data that are associated with a current information collection period, the user, and the product category; determining a new visit quantity associated with the current information collection period; determining an updated cumulative visit quantity associated with the product category based at least in part on the new visit quantity associated with the current information collection period; determining a total duration value associated with the product category based at least in part on a duration value associated with the current information collection period; determining a visit interval value associated with the product category and the current information collection period; and determining a long-term preference value associated with the user for the product category.

Abstract: Determining one or more preferred categories for a user is disclosed, including: determining a plurality of access attribute values corresponding to a plurality of types of access attributes associated with an access of the website by the current user; determining a plurality of categories corresponding to the plurality of access attribute values based at least in part on stored corresponding relationships between categories and access attribute values, wherein at least a portion of the determined plurality of categories comprises one or more preferred categories from which one or more products are configured to be recommended to the current user; and presenting product information associated with the one or more preferred categories.

Abstract: A technique of product recommendations is disclosed, including: determining user characteristic information and product characteristic information for a user; determining at least one of a basic recommended product set and an auxiliary recommended product set for the user; receiving an indication associated with a type of the user's network operation; generating product recommendations based at least in part on type of the user's network operation and at least one of the basic recommended product set and the auxiliary recommended product set for the user; and presenting the generated product recommendations.

Abstract: Recommending network object information to a user includes, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user is determined; a network object among the plurality of network objects that is of interest to the user is identified, the identification being based at least in part on the respective plurality of behavior frequencies that corresponds to each of the plurality of network objects; and additional information relating to the identified network object is provided to the user.

Abstract: A low-pressure and hyperpressure warning device for an automotive tire for automotive tire includes an air pressure detector, a radio emitter, and a radio signal receiving alarm annunciator, which are all set inside the tire. The air pressure detector includes a barrel with a hollow interior, two insulating covers covering both ends of the barrel, a mobile conductive piston inside the barrel, an elastomer which is set between and joins the piston and one of the covers, and too conductive poles which are set on the covers and stretch into the barrel. The interior of the barrel is divided by the piston into an airtight constant pressure air chamber and a second air chamber which communicates with the air in the tire. The conductive pole and the piston contact the radio emitter separately. This warning device is designed to trigger the alarm when the air pressure in the tire goes too high or too low.