System, method and recording medium for cognitive proximates
AssigneeInternational Business Machines Corporation
InventorsLaura Irina Rusu, Gandhi Sivakumar
Life of this patent
Estimating the term…
Abstract
A cognitive proximate recommendation method, system, and non-transitory computer readable medium, include identifying a requested item based on a user request, first extracting a requested feature and a requested value of the requested feature for the requested item, and returning a return item from a plurality of return items stored in the database by: second extracting a return feature corresponding to the requested feature for each of the plurality of return items, third extracting a return value of the return feature, and calculating a proximal distance between the return value for each of the plurality of return items and the requested value of the requested item.
Claims20
A cognitive proximate recommendation method including a database, the method comprising:
- identifying a requested item based on a user request;
- first extracting a requested feature and a requested value of the requested feature for the requested item;
- and
- returning a return item from a plurality of return items stored in the database by:
- second extracting a return feature corresponding to the requested feature for each of the plurality of return items;
- third extracting a return value of the return feature;
- and
- calculating a proximal distance between the return value for each of the plurality of return items and the requested value of the requested item.
A non-transitory computer-readable recording medium recording a cognitive proximate recommendation program including a database, the program causing a computer to perform:
- identifying a requested item based on a user request;
- first extracting a requested feature and a requested value of the requested feature for the requested item;
- and
- returning a return item from a plurality of return items stored in the database by:
- second extracting a return feature corresponding to the requested feature for each of the plurality of return items;
- third extracting a return value of the return feature;
- and
- calculating a proximal distance between the return value for each of the plurality of return items and the requested value of the requested item.
A cognitive proximate recommendation system, said system comprising:
- a database;
- a processor;
- and
- a memory, the memory storing instructions to cause the processor to:
- identify a requested item based on a user request;
- first extract a requested feature and a requested value of the requested feature for the requested item;
- and
- return a return item from a plurality of return items stored in the database by:
- second extracting a return feature corresponding to the requested feature for each of the plurality of return items;
- third extracting a return value of the return feature;
- and
- calculating a proximal distance between the return value for each of the plurality of return items and the requested value of the requested item.
Dependencies are inferred from the claim text.