System and Method for Association Extraction for Surf-Shopping
AssigneeLinkshare Corporation
InventorsZofia Stankiewicz, Satoshi Sekine
Life of this patent
Estimating the term…
Abstract
The present disclosure is directed to a computer system and method performed by a selectively programmed data processor for providing data to a Web page such that items are presented to the user in a way that imitates a real world shopping experience. Various aspects of the disclosed technology also relate to systems and methods for calculating product or category associations using associative relation extraction. Additional aspects of the disclosed technology relate to automatic topic discovery, and event and category matching.
Claims18
A computer implemented method for determining associative relationships comprising:
- constructing a plurality of category documents wherein each of said plurality of category documents is associated with a category and comprises descriptions of the respective category in relation to one or more other categories;
- applying the plurality of category documents to a topic model to determine topics;
- selecting related categories for a first one of the plurality of category documents;
- assigning one or more of said related categories to the determined topics;
- selecting one or more of said descriptions from the first one of the plurality of category documents to illustrate the relationship between the first one of the plurality of category documents and a second one of the plurality of category documents;
- selecting a exemplary product based on the selected sentence;
- and
- building a topic page.
A system for determining associative relationships comprising:
- a data processor programmed to:
- construct a plurality of category documents wherein each of said plurality of category documents is associated with a category and comprises descriptions of the respective category in relation to one or more other categories;
- apply the plurality of category documents to a topic model to determine topics;
- select related categories for a first one of the plurality of category documents;
- assign one or more of said related categories to the determined topics;
- select one or more of said descriptions from the first one of the plurality of category documents to illustrate the relationship between the first one of the plurality of category documents and a second one of the plurality of category documents;
- select a exemplary product based on the selected sentence;
- and
- build a topic page.
A non-transitory computer readable storage medium containing programming, that when executed on a data processor, causes the data processor to perform steps comprising:
- constructing a plurality of category documents wherein each of said plurality of category documents is associated with a category and comprises descriptions of the respective category in relation to one or more other categories;
- applying the plurality of category documents to a topic model to determine topics;
- selecting related categories for a first one of the plurality of category documents;
- assigning one or more of said related categories to the determined topics;
- selecting one or more of said descriptions from the first one of the plurality of category documents to illustrate the relationship between the first one of the plurality of category documents and a second one of the plurality of category documents;
- selecting a exemplary product based on the selected sentence;
- and
- building a topic page.
Dependencies are inferred from the claim text.