Patent application number | Description | Published |
20100262692 | Recommendation of network object information to user - 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. | 10-14-2010 |
20120059735 | Product recommendations - 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. | 03-08-2012 |
20120232951 | SENDING PRODUCT INFORMATION BASED ON DETERMINED PREFERENCE VALUES - 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. | 09-13-2012 |
20120233173 | DETERMINING PREFERRED CATEGORIES BASED ON USER ACCESS ATTRIBUTE VALUES - 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. | 09-13-2012 |
20120316960 | RECOMMENDING SUPPLEMENTAL PRODUCTS BASED ON PAY-FOR-PERFORMANCE INFORMATION - 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. | 12-13-2012 |
20130139166 | DISTRIBUTED DATA STREAM PROCESSING METHOD AND SYSTEM - Embodiments of the present application relate to a distributed data stream processing method, a distributed data stream processing device, a computer program product for processing a raw data stream and a distributed data stream processing system. A distributed data stream processing method is provided. The method includes dividing a raw data stream into a real-time data stream and historical data streams, processing the real-time data stream and the historical data streams in parallel, separately generating respective results of the processing of the real-time data stream and the historical data streams, and integrating the generated processing results. | 05-30-2013 |
20130166488 | PERSONALIZED INFORMATION PUSHING METHOD AND DEVICE - Embodiments of the present application relate to a personalized information pushing method, a personalized information pushing device, and a computer program product for pushing personalized information. A personalized information pushing method is provided. The method includes retrieving network behavior data related to access operations performed by user terminals, determining a numerical value of a degree of correlation between a user terminal and a plurality of information providing terminals having a correlation within a set time window based on the network behavior data, retrieving information providing terminals corresponding to a first user terminal to form a first data set based on the numerical values, retrieving information of the information providing terminals from the first data set to generate a first information, and pushing the first information to the first user terminal. | 06-27-2013 |
20130262979 | Method and System of Displaying Cross-Website Information - 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. The first server displays the products on a web page of the first website that is viewed by the first user. | 10-03-2013 |
20150051974 | RECOMMENDATION OF NETWORK OBJECT INFORMATION TO USER - 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. | 02-19-2015 |