Technologies are provided for generation of recommendation results using a verbal query. In one embodiment, query data can be generated using a searchable query corresponding to the verbal query. The query data can define a query browse node and a product brand, for example. First product identifiers that match the searchable query can be determined using multiple data repositories. Duplicates from the first product identifiers can be removed, resulting in second product identifiers. Attribute data also can be generated using the second product identifiers. The attribute data can define features for a product identifier. Further, third product identifiers can be determined by applying a filtering model to the second product identifiers. A ranking of the third product identifiers can be generated using an optimization function based on the query data and the product attribute data. A product corresponding to one of the ranked product identifiers represents a recommendation result.

A system comprising a computer-readable storage medium storing at least one program, and a computer-implemented method for enhancing and personalizing an interactive marketplace. The systems and methods provided herein may allow a user to receive search results that are tailored to the user's personal preferences based on social and purchasing information known about the user. In addition, the systems and methods provided herein may provide shipping updates to a buyer that include a personalized message based on location information provided by the package being shipped. In addition, the systems and methods provided herein allow merchants to provide incentives and rewards for shoppers by participating in interactive shopping games.

Disclosed are systems, methods, and non-transitory computer-readable storage media for semi-opaque sales with bundles of items. An example bundle can include hotel lodging and a bonus service, status, or item associated with that hotel. An system can identify a first bundle of a first base and bonus item, and a second bundle of a second base and bonus item. The system can present a semi-opaque offer comprising the first bundle, the second bundle, and a discount price, wherein the semi-opaque offer does not identify which of the first bundle and the second bundle will be sold at the discount price to the user upon acceptance of the semi-opaque offer, and wherein the discount price is a full price of the first base item. After receiving acceptance of the semi-opaque offer from the user, the system can disclose that the user has purchased the first bundle at the discount price.

Systems and methods relating to recommending vehicles similar to a first vehicle based on telematic data and vehicle manufacturing data and using machine learning techniques, and systems and methods for ranking recommended vehicles according to evaluation criteria are disclosed.

A system and method are disclosed for improving searching functionalities using graphical user interfaces. A web-based platform receives data relating to user activity during a search session, and furthermore presents suggested actions and/or search refinements based on the user activity. Processing modules include logic for identifying patterns and/or indicators in the user activity, and furthermore match detected patterns and/or indicators with suggested actions. The suggested actions are presented on the graphical user interface for allowing a user to refine the search session without exiting or terminating the search session.

Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

A mobile device can establish a communication with a separate device via a single function action such as bringing the devices near to each other. A method can include establishing a communication between a mobile device and a separate device a via a wireless link, presenting an instruction associated with the potential purchase and receiving, after the instruction is displayed and interpreted by the mobile device, a combination of a first type of input and a second type of input with the mobile device, at least one of which can be a security measure to prevent unauthorized purchase. The method includes retrieving the payment data from a memory of the mobile device and transmitting the payment data via the wireless link to the separate device to make a purchase.

A cloud service brokerage system includes an electronic cloud service catalog containing cloud service defining information for a plurality of cloud services and a cloud service store coupled to the electronic cloud service catalog. The cloud service store includes cloud service publications each representing cloud service functionality corresponding to one or more of the cloud services. The cloud service store includes a user interface structure enabling generation of cloud service orders each including one or more of the cloud service publications.

A method includes displaying and capturing image data containing an object and accessing a plurality of records related to objects, selecting a record related to the captured object, obtaining an identifier of a vendor of the object of the selected data record, combining the selected data record and the vendor identifier to form a search record, displaying, based on the search record, an augmented reality interface to receive a first interactive action for saving the search record, receiving the first interactive action, saving, in response to receiving the first interactive action, the search record into a searchable data structure, receiving a second interactive action, retrieving, in response to receiving the second interactive action, the search record from the searchable data structure, updating the vendor identifier based on the retrieved search record, and displaying information related to the search record.

Provided is a service method of providing a game play video by additionally applying advertisement content to the game play video, and more particularly, to a service method of providing a game play video by additionally applying advertisement content to the game play video, whereby advertising effects are spontaneously obtained while a user is viewing a game video by adding an advertisement to the video showing a game played by game users. According to the service method of providing a game play video by additionally applying an advertisement content to the game play video, a data capacity of a game video may be remarkably reduced and a high image quality may be maintained, and high advertising effects may be achieved without interfering with the user's viewing of the game video.