Alibaba Group Holding Limited

Anxiang Zeng

Chunxiang Pan

Yi Wang

Changlong Sun

Hualin He

Yabo Ni

The specification discloses a computer-implemented method for user action determination, comprising: recognizing an item displacement action performed by a user; determining a first time and a first location of the item displacement action; recognizing a target item in a non-stationary state; determining a second time when the target item is in the non-stationary state and a second location where the target item is in the non-stationary state; and in response to determining that the first time matches the second time and the first location matches the second location, determining that the item displacement action of the user is performed with respect to the target item.

Method and system for recognizing user actions with respect to objects

Enabling intelligent navigation is described, including: performing analysis of historical user activity data with respect to a query term to generate reference data associated with the query term; selecting a navigation recommendation model for the query term based at least in part on the reference data; using the reference data and the selected navigation recommendation model to determine a set of recommendation data associated with the query term, wherein the set of recommendation data includes at least a portion of a category system to be displayed in response to a subsequently received query including the query term.

Intelligent navigation of a category system

Ranking product search results is disclosed, including: determining a plurality of sample pairs corresponding to a query word; determining a plurality of feature score values corresponding to a set of ranking features associated with the query word for each product associated with each of at least a subset of the plurality of sample pairs; and determining a set of weightings corresponding to the set of ranking features based at least in part on the plurality of feature score values and ranking priority assignments corresponding to the at least subset of the plurality of sample pairs.

Ranking product search results

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.

Growing community of inventors

Hangzhou, China

Anxiang Zeng