Attribute category enhanced search
Performing a user initiated search query is disclosed and comprises receiving user input comprising description details of at least one desired object, retrieving a plurality of objects from a database sharing one or more of the description details of the user input, constructing a tree data structure based on the description details of the plurality of objects, the tree data structure comprising one or more attributes related to each of the plurality of objects retrieved, displaying visual images associated with the retrieved plurality of objects, the visual images matching at least one of the attributes related to the plurality of objects, and receiving a user selection of one or more of the visual images.
1. A method, comprising:
receiving, at a computing device, a plurality of objects having a plurality of corresponding predefined attribute values;
assigning, via a processor, the plurality of corresponding predefined attribute values to at least one category value;
constructing, via the processor, a first category of an attribute category tree data structure based on a type of data associated with the at least one category value;
assigning, via the processor, the first category to a first level of tree data, wherein the first category is an image category corresponding to a particular product and comprises a single image which defines the product associated with the first category;
assigning, via the processor, at least one predefined attribute value of the plurality of attribute values to a second level of tree data;
assigning, via the processor, at least one additional predefined attribute value of the plurality of attribute values to a third level of tree data; and
detecting a selection of the image of the first category and in response expanding the tree under the image of the first category by displaying a plurality of dependent images, each dependent image comprising an image of the product itself physically implementing all attributes of the product as shown in the selected image and physically implementing one or more additional attribute associated with the second level of tree data, wherein each dependent image further comprises an option that is available for further search with respect to the third level of tree data;
wherein the second level of tree data is beneath the first level of tree data and is reserved for category numerical data and the third level of tree data is beneath the first and second levels of tree data and is reserved for category textual data.
2. The method of claim 1 , wherein the options for further search comprise a plurality of different numerical representations of the product, and the plurality of different numerical representations correspond to at least one of a product price range, product warranty period, product length, and product weight.
3. The method of claim 1 , wherein the first category is represented by at least one image file.
4. The method of claim 3 , wherein the image file is an assigned image file.
5. An apparatus, comprising:
a receiver configured to receive a plurality of objects having a plurality of corresponding predefined attribute values; and
a processor configured to
assign the plurality of corresponding predefined attribute values to at least one category value,
construct a first category of an attribute category tree data structure based on a type of data associated with the at least one category value,
assign the first category to a first level of tree data, wherein the first category is an image category corresponding to a particular product and comprises a single image which defines the product associated with the first category,
assign at least one predefined attribute value of the plurality of attribute values to a second level of tree data,
assign at least one additional predefined attribute value of the plurality of attribute values to a third level of tree data, and
detect a selection of the image of the first category and in response expand the tree under the image of the first category by displaying a plurality of dependent images, each dependent image comprising an image of the product itself physically implementing all attributes of the product as shown in the selected image and physically implementing one or more additional attribute associated with the second level of tree data, wherein each dependent image further comprises an option that is available for further search with respect to the third level of tree data;
wherein the second level of tree data is beneath the first level of tree data and is reserved for category numerical data and the third tree level of tree data is beneath the first and second levels of tree data and is reserved for category textual data.
6. The apparatus of claim 5 , wherein the options for further search comprise a plurality of different numerical representations of the product, and the plurality of different numerical representations correspond to at least one of a product price range, product warranty period, product length, and product weight.
7. The apparatus of claim 5 , wherein the first category is represented by at least one image file.
8. The apparatus of claim 7 , wherein the image file is an assigned image file.
9. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform:
receiving, at a computing device, a plurality of objects having a plurality of corresponding predefined attribute values;
assigning, via a processor, the plurality of corresponding predefined attribute values to at least one category value;
constructing a first category of an attribute category tree data structure based on a type of data associated with the at least one category value;
assigning, via the processor, the first category to a first level of tree data, wherein the first category is an image category corresponding to a particular product and comprises a single image which defines the product associated with the first category;
assigning, via the processor, at least one predefined attribute value of the plurality of attribute values to a second level of tree data;
assigning, via the processor, at least one additional predefined attribute value of the plurality of attribute values to a third level of tree data; and
detecting a selection of the image of the first category and in response expanding the tree under the image of the first category by displaying a plurality of dependent images, each dependent image comprising an image of the product itself physically implementing all attributes of the product as shown in the selected image and physically implementing one or more additional attribute associated with the second level of tree data, wherein each dependent image further comprises an option that is available for further search with respect to the third level of tree data;
wherein the first level of tree data is reserved for non-numerical category image data, and the second and third levels of tree data are reserved for category numerical data and category textual data, respectively.
10. The non-transitory computer readable storage medium of claim 9 , wherein the options for further search comprise a plurality of different numerical representations of the product, and the plurality of different numerical representations correspond to at least one of a product price range, product warranty period, product length, and product weight.
11. The non-transitory computer readable storage medium of claim 9 , wherein the first category is represented by at least one image file.
12. The non-transitory computer readable storage medium of claim 11 , wherein the image file is an assigned image file.