Patent application number | Description | Published |
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 |
20120072220 | Matching text sets - Matching text sets is disclosed, including: extracting a text set from data associated with a current period; storing the text set with a plurality of text sets; extracting a keyword from the text set; determining a weight value associated with the keyword associated with the text set; determining a degree of similarity between the text set and another text set based at least in part on a weight value associated with the keyword associated with the text set and a weight value associated with a keyword associated with the other text set; and determining whether the text set is related to the other text set based at least in part on the determined degree of similarity. | 03-22-2012 |
20120072462 | Processing of categorized product information - Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information. | 03-22-2012 |
20130166564 | PROVIDING INFORMATION RECOMMENDATIONS BASED ON DETERMINED USER GROUPS - Classifying a user into a user group is described, including: obtaining action record information associated with a user with respect to a plurality of information categories; determining a preference value for at least one of the plurality of information categories based at least in part on the action record information; determining a demand preference dispersion value for the user based at least in part on the preference value, wherein the demand preference dispersion value represents a degree to which the user has dispersed interest across the plurality of information categories; and determining whether the user is to be associated with a demand-focused user group based at least in part on the demand preference dispersion value. | 06-27-2013 |
20130227054 | Transmitting Product Information - The present disclosure provides a method and device for transmitting recommended product information. In one embodiment, a system retrieves product evaluation records given by one or more users. Each of the product evaluation records includes an identification of the user (user ID), an identification of the product (product ID), and evaluation information. The system uses the user ID and the product ID as a primary key, and then, based on intervals of the primary key, divides the product evaluation records into several subsets of records, and assigns these subsets of records into multiple calculation nodes. The system retrieves such SVD calculation results of the multiple subsets of records from the multiple calculation nodes. The recommended product information is sent to a client terminal based on the SVD calculation results. The present disclosure implements the distribution processing of SVD calculation, reduces the calculation complexity, and saves the calculation time. | 08-29-2013 |
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 |
20130275269 | SEARCHING SUPPLIER INFORMATION BASED ON TRANSACTION PLATFORM - The present disclosure provides a method and an apparatus for searching supplier information based on a transaction platform. Each supplier may have one or more product group information and each of the product group information may have its corresponding characteristic weighted parameter. A search request for one or more supplier submitted by a user is received. The search request includes one or more search keywords. A preset supplier information database is searched to find product group information of the suppliers that matches the search keywords. A weighted result of respective matched product group information of a respective supplier is obtained according to its respective characteristic weighted parameter. The weighted product group information of the suppliers is ranked and corresponding supplier information is returned to the user. The present techniques may provide individualized searching functionalities to a buyer and enable the buyer to efficiently and simply find a best supplier. | 10-17-2013 |
20140122294 | DETERMINING A CHARACTERISTIC GROUP - Determining a characteristic group is disclosed, including: retrieving stored mapping relationship data for first objects and second objects, wherein the mapping relationship data describes connections between the first objects and the second objects; determining a candidate group including at least some of the first objects and at least some of the second objects based at least in part on the mapping relationship data, wherein any first object included in the candidate group is associated with another first object included in the candidate group via one or more other first object(s) or second object(s) included in the candidate group; determining a first characteristic value associated with the candidate group based at least in part on a number of first objects that are included in the candidate group; and determining whether the candidate group comprises a characteristic group based at least in part on the first characteristic value. | 05-01-2014 |
20140143094 | PROCESSING OF CATEGORIZED PRODUCT INFORMATION - Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information. | 05-22-2014 |