Abstract: Computer-implemented methods and systems for colour-based image tagging and colour-based searching. The method may include identifying, using image analysis, one or more dominant colours of a product based on an image of the product and receiving selection of at least one of the one or more dominant colours. In response to receiving the selection of the at least one of the one or more dominant colours, a search for products matching the at least one of the one or more dominant colours may be initiated to obtain one or more results of the searching, the one or more results including at least one product matching the at least one of the one or more dominant colours.

Abstract: A data partitioning system receives an input dataset for e-commerce products, each sample containing attributes and associated values for each product including at least an image; represents each sample as a node on a graph to provide a graph of nodes for the dataset; measures a relative similarity distance between each pair of nodes based on comparing at least image values for the attributes; determines for each pair of nodes whether they are related if the similarity distance between them is below a defined threshold, and if related, generate an edge between them on the graph; group the connected nodes into a first or a second group such that the grouped nodes have no edges connecting them to nodes in the other group and have a shortest relative similarity distance with each other. The groups are used as training dataset and testing data sets for a supervised machine learning classifier.

Abstract: Computer-implemented methods and systems for colour-based image tagging and colour-based searching. The method may include identifying, using image analysis, one or more dominant colours of a product based on an image of the product and receiving selection of at least one of the one or more dominant colours. In response to receiving the selection of the at least one of the one or more dominant colours, a search for products matching the at least one of the one or more dominant colours may be initiated to obtain one or more results of the searching, the one or more results including at least one product matching the at least one of the one or more dominant colours.

Abstract: A computer-implemented method is disclosed. The method includes: detecting, via a touch-sensitive interface, a first touch input corresponding to selection of a user interface element associated with a first menu level of a hierarchical menu; detecting a continuous touch gesture starting with the first touch input; determining a current selection of menu item of the first menu level based on a current location of contact; detecting, at a first time, a trigger condition in connection with the contact; in response to detecting the trigger condition: cause to be displayed, via a display device, a graphical representation of a second menu level of the hierarchical menu; detecting, at a second time, an end of the continuous touch gesture; responsive to detecting the end of the continuous touch gesture, determining a selection of menu item of the second menu level based on a location of the contact at the second time.

Abstract: A data partitioning system receives an input dataset for e-commerce products, each sample containing attributes and associated values for each product including at least an image; represents each sample as a node on a graph to provide a graph of nodes for the dataset; measures a relative similarity distance between each pair of nodes based on comparing at least image values for the attributes; determines for each pair of nodes whether they are related if the similarity distance between them is below a defined threshold, and if related, generate an edge between them on the graph; group the connected nodes into a first or a second group such that the grouped nodes have no edges connecting them to nodes in the other group and have a shortest relative similarity distance with each other. The groups are used as training dataset and testing data sets for a supervised machine learning classifier.

Abstract: Methods and systems for subscription to retail browsing sessions. While two users are independently browsing the same merchant's store in parallel, the system may enable sharing or cross-sharing of commerce event data from a first user's browsing session to be injected into the other user's browsing session, so that the other user may follow along with the first user's browsing activity. The sharing may be dependent upon the first user enabling a live browse event and the other user subscribing to it. The sharing may be dependent upon subscribers having an active browsing session in the same merchant store as the first user's browsing session. To the extent that a subscribing user navigates to a different merchant or store, the sharing of commerce event data may be stopped or reduced to reflect the fact that the two users are no longer browsing the same merchant location in parallel.

Abstract: Methods and systems for subscription to retail browsing sessions. While two users are independently browsing the same merchant's store in parallel, the system may enable sharing or cross-sharing of commerce event data from a first user's browsing session to be injected into the other user's browsing session, so that the other user may follow along with the first user's browsing activity. The sharing may be dependent upon the first user enabling a live browse event and the other user subscribing to it. The sharing may be dependent upon subscribers having an active browsing session in the same merchant store as the first user's browsing session. To the extent that a subscribing user navigates to a different merchant or store, the sharing of commerce event data may be stopped or reduced to reflect the fact that the two users are no longer browsing the same merchant location in parallel.

Abstract: A customer may wish to purchase products with a lower associated carbon footprint when shipped, or may wish to know the cost associated with offsetting a product's carbon footprint in order to make informed decisions, while browsing and making purchases online. The computer is faced with the computational challenge of trying to determine a value indicative of the carbon emissions associated with shipping a package, before the package has even shipped. The computation may need to be performed during interactive scenarios, such as while browsing. A system and method are provided in order to present a customer with a carbon emissions indication relating to the shipment of a product without disrupting typical online activity.

Abstract: A customer may wish to purchase products with a lower associated carbon footprint when shipped, or may wish to know the cost associated with offsetting a product's carbon footprint in order to make informed decisions, while browsing and making purchases online. The computer is faced with the computational challenge of trying to determine a value indicative of the carbon emissions associated with shipping a package, before the package has even shipped. The computation may need to be performed during interactive scenarios, such as while browsing. A system and method are provided in order to present a customer with a carbon emissions indication relating to the shipment of a product without disrupting typical online activity.