Abstract: Systems, methods, and computer-readable media for performing operations comprising: extracting product information from a webpage; getting recommendations from an online marketplace server; and displaying the recommendation from the online marketplace server in a plug-in on the webpage.

Abstract: A system and method for providing media recommendations to a user is described. A server computing device provides a browsing user with media content recommendation information based on a recommending user's media library. A client computing device, in communication with the server computing device, is provided with a user interface for purchasing media. The recommending user may be provided with a commission when the browsing user browses and/or purchases media content based on the recommending user's recommendation. The recommending user's media library is presented to the purchasing user based on a predefined level of similarity between the purchasing user's media content library and the recommending user's media content library. The recommending user may receive a commission when other users browse the recommending user's media library.

Abstract: Embodiments of the invention are directed to apparatus, methods, and computer program products for understanding past transactions based on purchase history. In some embodiments, an apparatus is configured to receive a request from a customer associated with a financial institution account; retrieve information associated with the request from a structured financial account database; and provide a recommendation to the customer based on the request and the information retrieved.

Abstract: Embodiments related to tracking consumer consumption for purchased items are provided. In some embodiments, a system is provided that receives e-receipt data, including stack keeping unit (SKU) level data, from a customer and compares the e-receipt data with transaction data. The system identifies transactions associated with one or more customer goals based on the SKU level data and calculates a first quantity of consumption for each of the identified transactions.

Abstract: Methods and systems can provide recommendations regarding gift packages. For example, a system can comprise a memory that stores information about a gift card recipient. A hardware processor can be in communication with the memory. The hardware processor can receive a communication that includes an indication of a desire of a user to purchase a gift card for the gift card recipient. The hardware processor can access the information. The hardware processor can determine, at least in part from the information, a recommendation for use of the gift card by the recipient. The hardware processor can facilitate sending of the recommendation to the user or the recipient, such as via text messaging or email.

Abstract: The present invention employs branded virtual characters to engage and educate users regarding an array of health-related insurance, financial, and other benefits, enabling informed decision-making during this complex process. Information is collected gradually on an “as-needed” basis to avoid overwhelming users with lengthy and redundant requests for information, while still providing a safe environment for users to freely discuss personal, health, financial and related sensitive issues. Throughout the process, the system employs a portfolio-driven approach to identify inter-dependencies among different benefit products and plans, and prioritize and recommend “portfolio-level” benefit solutions. Back-end components enable users to complete transactions (e.g.

Abstract: In an item selecting apparatus performing a selection of an item to be recommended for each user, it is performed to calculate, with respect to each usage registration of an item by a user, an elapsed value as a difference between a time point of creating the item or staring providing of the item and a predetermined time point, acquire a usage characteristics of each user based on the elapsed value and calculate a freshness value representing a degree of freshness about each item. Further, using correspondence rules of different characteristics corresponding to the usage item on the correspondence rule corresponding to the usage characteristics of each user, calculate a priority of the item for each user, based on the novelty index and performing a selection of the item.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, from computer-readable memory, a particular item of digital content distributed by a user through a computer-implemented social networking service; identifying, using the one or more processors, a set of items of digital content distributed by the user through the computer-implemented social networking service; receiving interaction data from the computer-readable memory; determining, based on the received interaction data, at least one of a user ranking score associated with the user and an item ranking score associated with the particular item of digital content; and storing the at least one of the user ranking score and the item ranking score in the computer-readable memory.

Abstract: Methods and systems are provided for coordinating purchases. For example, account information for a user can be stored in one or more memories. The account information can include an identification of a first product, such as a first product being purchased by the user. A communication can be received via one or more hardware processors in communication with the one or more memories. The communication can include an identification of a second product. The account information can be accessed via one or more hardware processors. Whether or not the second product is related to the first product can be determined via the one or more hardware processors. The second product can be coordinated, via one or more hardware processors, with respect to the first product if the second product is related to the first product.

Abstract: Embodiments of the present application relate to a method for recommending online products, a system for recommending online products, and a computer program product for recommending online products. A method for recommending online products is provided. The method includes specifying a main product zone of a query product image, dividing the main product zone into a plurality of local zones, extracting color features from each local zone, looking up candidate recommended product images sharing common characteristics with a query product image based on the color features of each local zone, matching, among the found candidate recommended product images, product images that are similar in terms of color matching to the query product image, and regarding the matched product images as recommended product images.

Abstract: A system and method for providing route information to a user, in which paths provided to the user are automatically selected based on personal information of the user, so that in following the provided paths, the user passes things in which the user may have particular interest.

Abstract: A mobile information gateway comprises a wearable human interface module having an image delivery and display mechanism for presenting information overlaid upon a wide field of view, a computing and communication module adapted receive information from the human interface module and adapted to send commands and information to the human interface module including information for presentation; and a backend service server coupled for processing data from the computing and communication module including user identification and verification.

Abstract: A system is disclosed for assisting a person in selecting clothing and accessory outfits for various situations. A plurality of card members display various reference characters having sample clothing outfit combinations and a plurality of accessory options are provided. A website extension is available to increase a user's access to updated fashion information regarding accessory option combinations as well as cost and source information from where to procure the options.

Abstract: Systems and methods for programmatically classifying text are discussed herein. Some embodiments may provide for a system including circuitry configured to programmatically classify a block of text. For example, the circuitry may be configured to identify topics associated with the block of text and identify one or more categories for each of the topics. The circuitry may be further configured to determine unique categories across the one or more categories for each of the topics. For each unique category, an actual category frequency may be determined based on a number of times each of the topics in the block of text is associated with the unique category. The circuitry may be further configured to associate a unique category with the block of text based on the actual category frequency for each the unique category and one or more other actual category frequencies for one or more other unique categories.

Abstract: Computing systems and methods for purchasing tickets and attending ticketed events are disclosed. A computing system includes one or more memory device or storage components adapted to store user information regarding users of the computing system as well as event information regarding upcoming ticketed events, and one or more processors for conducting activities regarding ticketing. Such activities can include displaying information regarding a ticketed event, accepting a user input regarding search terms or preferences for the ticketed event, comparing the user input to known information regarding past ticket purchases for that ticketed event, and recommending specific tickets to the user based upon the comparison.

Abstract: Some embodiments include a method of providing personalized item recommendations using scalable matrix factorization with randomness. Other embodiments of related systems and methods are also disclosed.

Abstract: Techniques for providing improved product suggestions for related items are described. According to various embodiments, a product listing webpage associated with a retailer website that describes a specific product may be crawled, the specific product being included in a product inventory of the retailer website. Thereafter, product relations information associated with the specific product may be identified in the product listing webpage, the product relations information describing a group of one or more additional products in the product inventory having a particular relationship with the specific product. The product relations information may then be transposed to a second product inventory associated with a second retailer.

Abstract: Usage data associated with a user of a telephonic device is accessed by a remote learning engine. A first service or a first product is identified by the remote learning engine based on the accessed usage data. A first recommended voice bundle application is determined by the remote learning engine. A recommendation associated with the first recommended voice bundle application is transmitted to the telephonic device. The recommendation is presented by the telephonic device to the user through voice communications. A response from the user associated with the recommendation is received. In response to determining that the user has not accepted the recommendation, a second service or a second product is determined based on the received response. A second recommended voice bundle application is determined based on the second service. The second recommended voice bundle application is executed by the telephonic device.

Abstract: The E-WALLET STORE INJECTION SEARCH APPARATUSES, METHODS AND SYSTEMS (“SIS”) transform aggregated automated shopping lists and user location data using SIS components into automated shopping item availability messages and merchant location navigation responses. In some implementations, the disclosure provides a processor-implemented method of providing an automated store injection search service.

Abstract: A device may determine its location within a store and display the location on a map of the store. A user may provide a shopping list to the device. The device may then display the location of desired items on the map of the store. When an item is located in multiple locations, the device may display one or more of the locations for the item. The device may suggest a route through the store by which the user can find all of the items on the shopping list. The device may recommend products to the user based on items near the device, items on the shopping list, or items identified by the user. The device may have the ability to identify items. The device may communicate with the server to gather information about an identified item.

Abstract: Methods, systems, and user-interfaces for creating a collaborative review of an offering may facilitate multiple people (users) collaborating on a review by submitting short statements concerning particular characteristics, traits, or qualities concerning the offering. Users can also vote on the validity or strength of each submitted statement. Votes on statements are tabulated, scores are computed, and the information is fed back to the user. These actions take place over a network with users of computing devices interacting with the system running on one or more servers. In one embodiment, the end results of this process is a single collaborative review for each offering that reflects the experiences, knowledge, and understanding of multiple people concerning that offering. The collaborative review may be made accessible via a network as a useful resource for people in making decisions about that offering.

Abstract: A computer system for recommending merchants to a candidate consumer is provided. The computer system includes a memory device in communication with a processor. The processor is programmed to collect transaction information for transactions between a plurality of payment cardholders and a plurality of merchants over a predetermined time period. The transaction information includes a merchant identifier associated with each transaction. The processor generates a list of cardholders based on the transaction information. The cardholder list includes a residential zip code associated with each cardholder. The processor then determine a total number of transactions and a number of local and unique cardholders for each merchant identifier based, at least in part, on the transaction information and/or the cardholder residential zip codes. Based on the total number of transactions and the number of local and unique cardholders, the processor then generates a list of recommended merchants.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for providing product evaluation. An exemplary apparatus is configured to identify purchase transaction data associated with identified electronic communications between a merchant and a customer, the purchase transaction data includes product level data from a transaction, receive the identified purchase transaction data, the purchase transaction data is received in an unstructured format, convert the purchase transaction data from the unstructured format to a structured format, associate the structured purchase transaction data with the customer's online banking application, aggregate purchase transaction data related to one or more products purchased by the customer, determine one or more products are purchased on a recurring basis, and provide the customer with one or more options based at least partially on determining the one or more products are purchased on a recurring basis.

Abstract: A system, method and computer program product are provided. In use, at least one preference associated with at least one first entity is identified. In addition, at least one preference associated with a second entity is determined. Further, the at least one preference associated with the second entity is determined based on the at least one preference of the at least one first entity.

Abstract: Providing country-specific recommendations for selling an item including detecting the listing of an item that is being listed for sale by a seller in a first country. Responsive to the detecting, determining information to be added to the listing in respect of a possible sale of the item in a second country, and informing the seller of the determined information. The determined information may be obtained using a data analytics method that works on one or more historical data logs to mine information relating to factors that may aid or improve sale of the item in the second country. The determined information may also be determined using a data analytics method that works on one or more historical data logs to mine information that indicates that it is attractive to list the item for sale in the second country.

Abstract: An information providing system for providing a user with information about at least one product or service corresponding to a new need due to a change in an attribute of the user by the user is provided. A receiving section (20) receives a request for changing a value of an attribute of the user. A user attribute changing section (22) changes the value of the attribute in response to the request. A recommendation target specifying section (24) specifies the at least one product or service to be recommended to the user based on at least one of the value of the attribute before the value is changed and the value of the attribute after the value is changed. An information providing section (28) provides the user with information about the at least one product or service specified by the recommendation target specifying section (24).

Abstract: In example embodiments, a system and method for providing a social coaching system is provided. A coach database is maintained by the coaching system. The coach database includes a list of coaches and attributes associated with each coach on the list. A request for a coach is received. The request includes at least one goal of a consumer. A plurality of coaches specializing in achieving the at least one goal is determined. The coach may be determined by identifying a match between the attributes associated with each coach and the goals of the consumer. A recommendation indicating the plurality of coaches is provided to the consumer. A selection of the coach from the recommendation is received. The coach is then assigned to the consumer.

Abstract: A system and method for creating and sharing e-commerce inventory among a defined on-line community via a specialized visualization and interactivity interface is presented. One embodiment comprises a network system having a client-server architecture configured for exchanging data over a network. The data exchanges may pertain to various functions, such as on-line purchases, etc., and aspects, such as managing social networks, etc., associated with the network system. The network system may include a network-based marketplace, such as an e-commerce system, where traders or users may communicate and exchange data. A recommendation engine scrapes metadata from items selected in an “art-board” and extrapolates that data to recommend other items. These recommended other items should be based-on what other users have selected from the “art-board” and paired together, as well as what other users have removed from their respective art boards.

Abstract: Content recommendation includes: determining a plurality of user behavior categories pertaining to a plurality of user behaviors by a plurality of users within a period of time, and a plurality of user behavior frequencies corresponding to the plurality of user behavior categories; determining whether the number of user behavior categories exceeds a preset category threshold; in the event that the number of user behavior categories exceeds the preset threshold, excluding one or more user behavior categories such that the number of remaining user behavior categories does not exceed the preset threshold; determining, based at least on the remaining user behavior categories and corresponding user behavior frequencies, user preference data comprising frequency distribution information of a plurality of pieces of content information targeted by user behaviors in the remaining user behavior categories; and recommending content information to a user based on the user preference data.

Abstract: A method of receiving a recommendation of Point of Interest (POI) information from a place recommending apparatus is provided. The method includes sending a POI information recommendation request to the place recommending apparatus using sensor data and receiving a recommendation response to the POI information recommendation request from the place recommending apparatus based on user-desired environment information.

Abstract: Systems and methods of generating recommendations based on transaction data are described. A first business entity may collect transaction data corresponding to a user from at least one external source. The transaction data may comprise at least one identification of an item purchased by the user, and the external source(s) may belong to a separate business entity from the first business entity and host an account of the user. A recommendation for the user may be generated based on the collected transaction data. In some embodiments, the recommendation may comprise a recommendation to buy an item or a recommendation to sell an item. The generated recommendation may also be based on transaction data corresponding to at least one other user.

Abstract: Product selection packaging for a consumer product that improves the consumer's ability to quickly sort through numerous criteria in a complex decision making process and determine whether that particular consumer product is appropriate for his or her purchase and use is disclosed. The product selection packaging, which is designed for a consumer product includes (a) an interface; and (b) at least one product selection indicia associated with the interface, wherein the selection indicia assist the consumer with determining whether or not the product is appropriate for the consumer's purchase or use.

Abstract: Method, system, and computer program product embodiments are disclosed for providing recommendations to customers. Defining steps include establishing a connection with a customer's mobile device, obtaining information about the location of the customer's mobile device, determining recommended goods or services currently offered by one or more business locations, and outputting for display on the customer's mobile device a listing of the recommended goods or services navigable by category or subcategory.

Abstract: A good selected by a shopper within a commerce session can be identified. The commerce session can be associated with a provider. The provider can be associated with a product and/or a service. The commerce session can be associated with an e-commerce Web site and a physical retail site. Historic purchase data associated with the good can be determined. The historic purchase data can be associated with the shopper. A purchase pattern for the good can be established based on at least one of the historic purchase data and a personalization profile. The personalization profile can include a user preference and/or an event data associated with an event. The event can affect the future purchasing behavior of the shopper. A recommendation based on the purchase pattern can be provided. The recommendation can benefit the purchasing behavior of the shopper.

Abstract: Embodiments of the present invention relate to an approach for characteristic-based (e.g., color) selection of items (e.g., clothing) in a networked computing environment (e.g., a cloud computing environment). Specifically, at least one computer storage device will be populated with a first set of items. The first set of items may be associated in the at least one computer storage device with a first set of corresponding characteristics. A computer data structure may then be generated that comprises compatibility scores of the first set of items to one another. A second set of items may then be received in the at least one computer storage device. The second set of items may also be accompanied by a second set of corresponding characteristics. A set of matches between the first set of items and the second set of items may then be generated according to one or more criteria.

Abstract: A recommender system may he used to predict a user behavior that a user will give in relation to an item. In an embodiment such predictions are used to enable items to be recommended to users. For example, products may be recommended to customers, potential friends may be recommended to users of a social networking tool, organizations may be recommended to automated users or other items may be recommended to users. In an embodiment a memory stores a data structure specifying a bi-linear collaborative filtering model of user behaviors. In the embodiment an automated inference process may be applied to the data structure in order to predict a user behavior given information about a user and information about an item. For example, the user information comprises user features as well as a unique user identifier.

Abstract: A process, system and computer software are provided to facilitate at least one recommendation to one or more users and/or one or more applications using multidimensional data. In particular, a multidimensional space is defined, wherein each dimension is capable of providing variable information. At least one dimension corresponds to user profiles. The multidimensional space is filled with multidimensional data corresponding to dimensions of the multidimensional space. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query. This can be performed by generating the recommendation-specific query to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube.

Abstract: Techniques are provided for delivering content to mobile communication devices related to interactions of members with a user community. The method involves detecting a communication session involving a mobile communication device; determining one or more context parameters associated with the communication session; and delivering content related to the context parameters to one or more mobile communication devices. Data is stored at a central computing entity that indicates association or membership of a plurality of mobile communication device users in a user community. The central computing entity detects when an action is taken by one mobile device user that is a member of the user community, and sends a notification to members of the social circle based on the detected action. These techniques allow individuals who are involved in a user community to maintain their interaction with the user community using their mobile communication devices.

Abstract: One embodiment of the present invention provides a system for partitioning a graph representing customer purchases to facilitate parallel computations. During operation, the system initially receives graph data indicating vertices and edges of the graph, wherein the vertices represent customers and products and the edges represent purchases. Next, the system partitions edges of the graph to generate a partitioned graph such that each edge of the graph is a member of a respective partition. The system may then perform parallel computations on the graph data in one or more partitions to determine product recommendations.

Abstract: There is provided systems and method for a user specific purchasing guide. The methods include receive user specific financial information corresponding to a user, receive item specific pricing information corresponding to an item selected by the user, and determine user specific purchase recommendations for the item using the user specific financial information, the item specific pricing information, and general price predictors, wherein the user specific recommendations include at least a time and price to purchase the item.

Abstract: A computer-implemented method for providing a list of frequently purchased items by a user from a retailer to a computing device corresponding to the user includes receiving a request to generate the list of frequently purchased items. A purchase history of the user is obtained in response to the request, the purchase history including a plurality of previously purchased items. A number of purchases for each of the purchased items within a predetermined time period is monitored. The list of frequently purchased items is generated based on the monitored number of purchases for each of the purchased items. The generated list of frequently purchased items is transmitted to the computing device.

Abstract: A system and process for improving product recommendations for a first user includes receiving a request for one or more product recommendations for a first user, each product recommendation being associated with any one of a plurality of retailers, receiving a plurality of recommendation sets from one or more automated product recommendation systems, wherein the plurality of recommendation sets are generated using different selection models and using ensemble learning to select one or more most relevant product recommendation sets from the plurality of product recommendation sets.

Abstract: A process, system and computer software are provided to facilitate at least one recommendation to one or more users and/or one or more applications using multidimensional data. In particular, a multidimensional space is defined, wherein each dimension is capable of providing variable information. At least one dimension corresponds to user profiles. The multidimensional space is filled with multidimensional data corresponding to dimensions of the multidimensional space. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query. This can be performed by generating the recommendation-specific query to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube.

Abstract: The aggregation of facts from various sources about an individual may produce an individual profile that may inform personalized services. However, a compilation of facts may be supplemented by monitoring activities of the individual and formulating inferences regarding the individual's individual details, and the confidence of such inferences. Accordingly, a device may compare the detected activities with a behavioral rule set indicating correlations between activities and inferred individual details (e.g., frequently spent weekday evenings and morning departures from a residence imply that the residence is the individual's home; frequent bicycling to work, chosen over other available modes of transportation, implies that the individual is a bicycling enthusiast) to add inferred individual details to the individual profile. Continued monitoring may enable updating based on changes to the individual details.

Abstract: In one embodiment, a method includes monitoring an action of an individual or a certain consumer and maintaining a database stored in a memory personal to the consumer. The database can have an indication of preferences of the consumer and a purchase history of the individual consumer. The database can be based on the monitored action of the consumer. The method can further include providing a suggested product to the consumer based on the maintained database.

Abstract: Systems, methods and apparatuses for quantifying a benefit associated with use of a product or service are provided. In some examples, an entity may receive information about a company to which they are going to attempt to sell a product or service. The methods, computer-readable media and apparatuses may identify a potential improvement at the company, as well as one or more products or services to sell to the company to aid in or provide the improvement. In some examples, the methods, computer-readable media and apparatuses may quantify the impact or benefits associated with use or implementation of the product or service.

Abstract: A method and system for a context based search recommendations is provided. A context based search can be facilitated for the construction of cold start recommender systems. Contextual information can be mined from review texts from sources such as websites, and analyzed for common traits per context group. From this context information the most applicable reviews for the user can be provided. One embodiment provides a method for providing recommendations. The method includes the steps of preprocessing one or more reviews based on features of the one or more reviews, obtaining context information about user; and determining score for user based on obtained user context information and features of the one or more reviews.

Abstract: A client-server social-network for providing automated clothing suggestions. Fashion interested users form social networks, upload records of their respective wardrobes and fashion preferences, and display their wardrobe items and outfits other members of the network, often displaying entire outfits using customizable virtual mannequins. The social network members can evaluate the fashion merits of both their outfits and their friend's outfits, and the system will further store data pertaining to the social network group's fashion assessments. The system may also make statistical inferences as to what types of clothing may be favored and disfavored by the user's social network group, and present these recommendations to the user. Other factors, such as weather, event type, and user's recent history of wearing various wardrobe items can also be considered.

Abstract: A method of recommending products during e-commerce. A computing device including a processor implements a cross sampling recommender algorithm which includes a first statistical model is provided at a website. Responsive to receiving information via the Internet from a first customer including selection of a first product offered at the website, the algorithm automatically divides historical customer' selection information into a plurality of time ordered sub-periods of time. Using the customer' selection information and the time ordered sub-periods of time as a time covariate, logistic regressions are fit to each of a plurality of cross-sampled pairs of the plurality of products involving the first product. Using the data from the logistic regressions, cross-sampled pairs are identified which meet a slope selection criteria.

Abstract: The embodiments provide a system for decision-making criteria-based recommendations. The system may include a decision engine configured to receive a request for recommendations for an option problem associated with a product or service category, and determine options among a plurality of options for the product or service category based on preference information. The preference information may include activated decision-making criteria and corresponding weight values. The corresponding weight values may represent a relative importance of each activated decision-making criterion. The decision engine may be configured to determine options among the plurality of options including calculating scores for the plurality of options based on, in part, the activated decision-making criteria and the corresponding weight values and selecting the options among the plurality of options based on the calculated scores.