Abstract: In some embodiments, the method can comprise receiving one or more clicks on one or more items by a user during a browse session, measuring a distance between the one or more items, and determining a relationship between the one or more items based at least in part on the distance. In various embodiments, the method can further comprise clustering the one or more items based at least in part on the relationship into one or more clusters and presenting to the user a recommendation. In a number of embodiments, the recommendation can comprise at least one of one or more search terms related to at least one cluster of the one or more clusters or a set of items related to the at least one cluster of the one or more clusters, the set of items comprising at least a portion of the one or more items. Other embodiments of related methods and systems are also provided.

Abstract: This invention is directed to compositions and methods for treating cancer in a patient.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of accessing first transaction data stored in a transaction database, the first transaction data describing first transactions for first items from first users; determining, using the first transaction data, first micro-intents associated with the first transaction data; grouping the first micro-intents into clusters; labeling each cluster of the first micro-intents with a respective label; receiving second transaction data of a user, the second transaction data describing second transactions for second items for the user; determining, using the second transaction data, second micro-intents present in the second transactions; receiving current transaction data from a user interface of an electronic device of the user; determining, using the current transaction data, that the user is expressing a curre

Abstract: In some embodiments, a method can comprise receiving a search query from a search by a user during a browse session, receiving one or more items from an item database in response to the search query, and receiving one or more previous search queries from a search database, the one or more previous search queries related to the search query. In many embodiments, the method can further comprise determining a purchase probability associated with a first item of the one or more items based at least in part on a first item score for the first item, ranking the one or more items based at least in part on the purchase probability associated with the first item of the one or more items, and facilitating display of the ranking of the one or more items. Other embodiments of related methods and systems are also provided.

Abstract: In accordance with various embodiments, an electron beam evaporator can comprise the following: a tubular target; an electron beam gun for producing at least one vapor source on a removal surface of the tubular target by means of an electron beam; wherein the removal surface is a ring-shaped axial end surface or a surface of the tubular target that extends conically or in a curved fashion from the free end edge.

Abstract: This invention is directed to methods for treating cancer and metabolic syndrome.

Abstract: This invention is directed to compositions, methods and kits that can be used for reducing cell viability, inducing cell apoptosis, and inhibiting cell proliferation, such as for the treatment of cancer. The invention is also directed to compositions, methods and kits that can be used for treating inflammatory conditions, such as by modulating inflammatory cytokines.

Abstract: A method including training a recurrent neural network model to create a trained model based at least in part on: (a) first images associated with first items on a website, (b) first search terms used by users of the website to search for the first items on the website, and (c) personal features of the users. The method also can include receiving an input image that was uploaded by a current user. The method additionally can include obtaining a user encoded representation vector for the current user based on a set of personal features of the current user. The method further can include generating an image encoded representation vector for the input image. The method additionally can include deriving search terms that are personalized to the current user for the one or more items depicted in the input image, using the trained model and based on the user encoded representation vector for the current user and the image encoded representation vector for the input image. Other embodiments are disclosed.

Abstract: A method including tracking first data including responses by users to email campaigns. The method also can include generating a user feature set for the users, the user feature set including personal features of each of the users and online activity history for each of the users across a first set of time periods. The method additionally can include generating an email feature set for the emails in the email campaigns. The method further can include training a logistic regression model to create a trained model using the first data, the user feature set, and the email feature set to provide a probability of a user of the users clicking on an email of the emails within each time period of a second set of time periods. The method additionally can include triggering sending a first email of the email campaigns to a first user of the users at a selected time period of the second set of time periods based at least in part on the trained model. Other embodiments are disclosed.

Abstract: Systems and methods for synchronizing a customer's shopping experience over multiple channels are disclosed. A transaction record is generated in response to a purchase of goods, and transaction data is extracted from the transaction record and stored in a transaction database. Customer identities are extracted from the transaction record and stored in a customer identity database, wherein the transaction data extracted from the transaction record is associated with the customer identities. A plurality of customer identities are identified that are associated with a user and those identified customer identities that are applicable to the use case of the system are determined. Use case specific information is generated based, at least in part, on transaction data associated with each of the determined customer identities.

Abstract: A method including a user who has brand affinities about a product brand or a product brand category. The method can include analyzing whether the user has brand affinities for the product brand or the brand category with two binary classification models that can include (a) a model one to determine an affinity to a particular product brand and (b) a model two to determine an affinity to a particular product brand category. The method also can include analyzing whether the user has affinities for a similar product brand or a similar product brand category by a model three neural network. The method can include displaying recommendations and the promotions for a product brand, a product brand category, a similar product brand, or a similar product brand category to the user. Other embodiments are disclosed.

Abstract: An apparatus of a user equipment (UE) comprises one or more baseband processors to encode a unique UE identifier to be transmitted to an Access and Mobility Function (AMF) of a Fifth Generation (5G) network, wherein the unique identifier identifies UE capabilities to be stored in a UE capabilities database. An apparatus of Access and Mobility Function (AMF) of a Fifth Generation (5G) network comprises one or more processors to receive a user equipment (UE) Capabilities update from a remote server to update a UE capability database that stores UE capability information corresponding to one or more UEs identified with a unique identifier, and to process the UE Capabilities update via one or more Application Programming Interfaces (APIs).

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: receiving recipes in an electronic manner; parsing the recipes to identify ingredients; generating mapping information that correlates the recipes with corresponding ingredients, and that correlates the ingredients with corresponding grocery products; executing a recommendation engine that is configured to recommend a recipe selected to a user based, at least in part, on the user's shopping behavior; utilizing the mapping information to select a subset of the grocery products that correspond to the ingredients for the recipe; transmitting data for presenting a recommendation display to the user that presents the subset of the grocery products and enables the grocery products to be added to an online shopping cart. Other embodiments are disclosed herein.

Abstract: A method can include retrieving product information from a website database to identify a first product as a value-sensitive product identified with at least a value price tag. The method can include determining second users who are not value conscious about the first product. The method can also include preparing first and second recommendations and promotions for the first product, wherein the first recommendation comprises one or more value-sensitive products. The method additionally can include transmitting machine readable instructions to display the first recommendations and promotions for the first product for viewing by the first user. The method also can include transmitting machine readable instructions to display the second recommendations and promotions for the first product for viewing by the second user. Other embodiments are disclosed herein.

Abstract: A network device operable as a provide edge router is described. The network device comprises one or more processors operably coupled to a memory; a configuration interface configured for execution by the one or more processors to receive configuration data configuring the network device as a provider edge router of an intermediate layer 3 network to provide multi-homed layer 2 virtual bridge connectivity to a customer edge device using an active-standby mode of operation; and a routing process configured for execution by the one or more processors to send, to a remote provider edge router in response to determining the network device is able to send layer 2 packets to the customer edge device, a route advertisement that includes a static route specifying a layer 3 address of the customer edge device as a next-hop for a layer 3 subnet.

Abstract: Identifying one or more sub-populations of case individuals from a gross population of case individuals can comprise identifying the one or more sub-populations of case individuals. Case individuals of the first sub-population of case individuals are associated with at least one first sub-population feature. The first case individuals are exclusive from the second case individuals. The first case individuals and the second case individuals together comprise the case individuals of the first sub-population of case individuals presenting first control content to case individuals of the first control sub-population. The first control content is selected according to a first statistical model measuring an average feedback metric of the case individuals of the first control sub-population provided in response to being presented the first control content presenting first test content to case individuals of the first test sub-population.

Abstract: In some embodiments, a method can comprise receiving a search query from a search by a user during a browse session, receiving one or more items from an item database in response to the search query, and receiving one or more previous search queries from a search database, the one or more previous search queries related to the search query. In many embodiments, the method can further comprise determining a purchase probability associated with a first item of the one or more items based at least in part on a first item score for the first item, ranking the one or more items based at least in part on the purchase probability associated with the first item of the one or more items, and facilitating display of the ranking of the one or more items. Other embodiments of related methods and systems are also provided.

Abstract: In some embodiments, the method can comprise receiving one or more clicks on one or more items by a user during a browse session, measuring a distance between the one or more items, and determining a relationship between the one or more items based at least in part on the distance. In various embodiments, the method can further comprise clustering the one or more items based at least in part on the relationship into one or more clusters and presenting to the user a recommendation. In a number of embodiments, the recommendation can comprise at least one of one or more search terms related to at least one cluster of the one or more clusters or a set of items related to the at least one cluster of the one or more clusters, the set of items comprising at least a portion of the one or more items. Other embodiments of related methods and systems are also provided.

Abstract: In many embodiments, the method can comprise receiving a search query from a search by a user and determining a question to present to the user. In many embodiments, determining the question to present to the user can comprise evaluating a user profile associated with the user, evaluating the search query, evaluating one or more user actions during a current browse session of the user, and selecting the question from a set of questions. In some embodiments, the method can further comprise presenting the question to the user when a confidence score associated with the question reaches or exceeds a predetermined threshold. Other embodiments of related methods and systems are also provided.

Abstract: The techniques described herein may enable a particular PE router configured in an EVPN to share, rather than immediately discard, a CE router MAC address that is included in an IPv6 neighbor advertisement even though the particular PE router does not include a neighbor cache entry corresponding to the CE router. The techniques may include receiving, from a CE router that is locally coupled to the first PE router, an IPv6 neighbor advertisement from the CE router in response to an IPv6 neighbor solicitation from a second PE router that requested a MAC address of the CE router; determining whether an L2 destination addresses of the IPv6 neighbor advertisement match the L2 address of the bridging interface second PE router; and in response to determining a match, sending, to the second PE router, an EVPN route advertisement specifying at least the MAC address of the CE router.