Abstract: Provided are an information processing apparatus, an information processing method, an information processing program, and a recording medium storing thereon the information processing program, which can prevent a transaction disadvantageous to a user or registration of disadvantageous transaction objects. The information processing apparatus extracts a transaction object, which is identical to or related to a transaction object to be selected by a user and with which a condition more advantageous than the corresponding transaction object is associated, from a storing means that stores information on transaction objects referred to in the past time by the user, and presents the extracted transaction object to the user.

Abstract: A device and a method for automatic generation of a recommendation for an item p to a user u. The device is at least indirectly connected to an item database containing a user profile database and a user interrelation database. A standard recommender engine accesses the item database and user profile database to calculate a score s(p,u) in a [0,1] interval indicating a “like” degree of an item p for user u based on a user profile of user u. The device further has a content discovery recommender to access the user interrelation database and to find at least users v that have a direct connection to user u to determine a fraction of the users v that know an item p and to generate a recommendation based on the score s(p,u) of item p.

Abstract: A method for recommending tour attractions based on medical services includes steps of choosing at least one medical service from a plurality of medical services; calculating suitability between the at least one medical service and tourist attractions based on medical degree parameters and tour degree parameters; and recommending at least one tourist attraction from a plurality of tourist attractions based on the suitabilities. Furthermore, a system for recommending tourist attractions based on medical services is also disclosed herein.

Abstract: Computer based systems, methods, software and databases are presented in which correlations between web item preferences, behaviors and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based user behavior prediction in which predictions of a user's online behavior can be generated based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Abstract: Techniques are disclosed for selecting an item to recommend to a user from a plurality of items. A first set of scores indicating degrees of association between items of the plurality of items may be calculated using a first scoring algorithm having a first scale, and a second set of scores indicating degrees of association between items of the plurality of items may be calculated using a second scoring algorithm having a second scale. The second set of scores may be adjusted to match the second scale to the first scale, and a third set of scores may be calculated for the plurality of items by combining the first set of scores and the adjusted second set of scores. An item may be selected from the plurality of items to recommend to the user based on the third set of scores.

Abstract: A method and a system facilitate interactions of a user with a person in relation with the user. A server detects an access from the user. The server fetches a profile of the person in relation with the user from a database. The profile includes at least a type for the relationship between the user and that person. Based on the relationship type, the server fetches a list of procurable gifts from one or more supplier servers. The list of procurable gifts is presented to the user. The user selects a gift and the server orders purchase of the selected gift from a supplier of the selected gift. The profile may include a shipping address and the purchase may comprise a request for delivery of the selected gift to the shipping address. Profiles may be defined for a plurality of persons in relation with the user.

Abstract: A merchandise recommendation method for multiple users used in a merchandise recommendation system including a user database, a merchandise database, a data transmission module, a processing module and a memory is provided. The merchandise recommendation method includes the steps outlined below. The processing module receives participant information and target merchandise information from a remote originator host. The processing module retrieves corresponding user information from the user database according to the participant information. The processing module retrieves corresponding merchandise information from the merchandise database according to the target merchandise information. The processing module analyzes social influence information and preference information included in the user information and analyzes the merchandise information to generate an analysis result. The processing module generates composite merchandise recommendation information according to the analysis result.

Abstract: A guided and interactive recommendation system and method. In-depth product and service profiles are stored followed by a user profile of a user that wishes to employ the system and method. An initial ranking of products and services is performed based upon other information, and parameters inherited from the user profile. A real-time queue—and blocks for insertion into the real-time queue are generated. Questions in the blocks that meet eligibility conditions are traversed sequentially until all of the blocks and questions therein are traversed. Products and services rankings are computed and recomputed along with the questions until all of the questions and blocks are exhausted.

Abstract: An electronic device may generate use related information and resource consumption related information corresponding to each of used applications used in the electronic device. The use related information and the resource consumption related information may then be transmitted to a remote applications manager, which may analyze the information to generate, based on the analysis, specially tailored application recommendations. The application recommendations may list one or more other applications, newly available or offered, which may be recommended for download to and/or use in the electronic device. The analysis of the use and the resource consumption information may comprise ranking the used applications, such as based on use patterns and/or resource consumption, and/or classification of the used applications, such as based on application type.

Abstract: A method and apparatus for providing a customized food life service is provided. The method includes: sensing a wireless frequency identification tag attached to food to receive data; processing and storing the received data; analyzing and modeling the stored data; and providing food management information based on the analyzing and modeling result.

Abstract: Data streams are generally selected according to user preferences and transmitted to the user in general alignment with expressed preferences of the user. Such data streams may be music, including music videos. Users may indicate their general or specific preferences with regards to song, artists, or albums. Any other aspects or factors that might affect the user's preferences can be taken into account. A playlist is created that combines all of these factors. The playlist then serves as the basis for feeding the data streams to the user. Each user is able to express his or her own preferences and receive music corresponding to those preferences on an on-going basis.

Abstract: Systems and methods for enhancing a consumer experience using shared data is provided. The system includes a shared data server in communication with one or more merchant sites and a remote server that may include a payment processing server. The shared data server receives, stores, and analyzes information provided from the merchant sites and the remote server to provide recommendations, offers, and the like to the consumer to enhance their experience. The shared data server may also provide upselling opportunities for the merchant site based on its analysis as well as opportunities to extend credit to consumers for the remote server based on its analysis of the received information. The shared data server may allow merchant sites and remote servers to make indirect use of the information that each has individually about products and customers without providing direct access to the information.

Abstract: In some embodiments, the present invention is directed to a computer-implemented method which includes at least the following steps of requesting a consent to obtain an individual social media profile data; based on the consent, electronically obtaining the individual social media profile data from a social media electronic data source; determining individual specific parameters based on the individual social media profile data; matching the individual specific parameters to at least one segment identifier generated based on a predetermined segmentation of a target population of individuals; based on the matching, associating the at least one segment identifier with the individual social media profile data; and outputting an advertisement to the individual based on the at least one segment identifier associated with the individual social media profile data of such individual.

Abstract: An embodiment includes a method. In one example, the method includes, but is not limited to, determining a location of a mobile device; and transmitting a signal to the mobile device, wherein the signal includes information related to a product sold at a store. In addition to the foregoing, other aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: The GAMING MARKETPLACE APPARATUSES, METHODS AND SYSTEMS (“UBGER”) transform user site navigation inputs via UBGER components into systematically-defined user behavior-based game exchange recommendations and offers. In one embodiment, the UBGER obtains activity logs including data on actions taken by a user within a website. The UBGER extracts user behavioral attributes based on analyzing the obtained activity logs, and queries a database for identifications of electronic games associated with the extracted user behavioral attributes. The UBGER queries a database for electronic games owned by the user, and identifies inactive electronic games owned by the user, based on the activity logs. The UBGER generates an offer including a recommendation for trade-in of one of the identified inactive electronic games in exchange for the purchase of one of the electronic games associated with the extracted user behavioral attributes, and provides the generated offer to a client device of the user.

Abstract: A method, system or computer usable program product for offering a set of candidate products that have a lower picking cost including detecting a product selected for purchase by a user; identifying a list of proximate products to the product selected for purchase; utilizing a processor for ranking the proximate products considering incremental picking costs and applicability of the proximate products to the product selected for purchase to determine picking scores for a subset of the proximate products in the list of proximate products; and presenting to the user the set of candidate products selected from the subset of proximate products based on the picking scores.

Abstract: A personalized webpage gifting system includes a server in communication with a computing device having a processor to execute an application. Upon execution, the application generates generate a graphical user interface (GUI) to receive recipient information from each of a plurality of participants in which the recipient information user-supplied content associated with a recipient from each of a plurality of participants, and a monetary amount to be contributed towards purchase of a gift for the recipient. The application then combines the user-supplied content of each participant to form a personalized content structure, wherein the application is further executable to facilitate transmission of the gift and the personalized content structure to the recipient.

Abstract: One embodiment of the present invention provides a system for dynamically assigning vertices to processors to generate a recommendation for a customer. During operation, the system receives graph data with customer and product vertices and purchase edges. The system traverses the graph from a customer vertex to a set of product vertices. The system divides the set of product vertices among a set of processors. Subsequently, the system determines a set of product frontier vertices for each processor. The system traverses the graph from the set of product frontier vertices to a set of customer vertices. The system divides the set of customer vertices among a set of processors. Then, the system determines a set of customer frontier vertices for each processor. The system traverses the graph from the set of customer frontier vertices to a set of recommendable product vertices. The system generates one or more product recommendations for the customer.

Abstract: The disclosed embodiments include, for example, systems and methods for providing recommendations of one or more alternative products to a user based on investment portfolio data. In one aspect, the disclosed embodiments may include a system that is configured to receive an identifier of a product prior to a purchase of the product by a user, and determine parameters associated with the product based on the received product identifier. In certain aspects the system may be configured to identify an alternative product associated with at least one of the product parameters and at least one of a plurality of securities associated with the investment portfolio of the user. The system may also be configured to perform a process that causes transmission of information identifying the alternative product for presentation on a device of the user.

Abstract: The disclosed embodiments include, for example, systems and methods for providing recommendations of one or more alternative products to a user based on investment portfolio data. In one aspect, the disclosed embodiments may include a system that is configured to obtain information associated with one or more products of interest to the user. In certain aspects, the obtained information may identify a product previously purchased by the user, one or more products that form a shopping list of the user, and/or a product identified by the user as a potential purchase. The system may be configured to identify one or more alternative products that are similar to the products of interest and that are related to one or more securities associated with an investment portfolio of the user. In one aspect, the system may be configured to generate one or more instructions to transmit information identifying the one or more alternatives product to a device of the user.

Abstract: Disclosed is a fashion coordination assist device etc. which provides fashion coordination automatically reflecting preference of a user.

Abstract: A method, system, and/or computer program product presents product recommendations based on input derived from a user's social network. A description of a product selected for purchase by a user is received. A social networking site is searched for information relevant to a characterization the product. The relevant information is characterized according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product. Characterized information about the product is then presented to the user.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing applicability indicators using color are disclosed. An applicability indicator may provide a user with an indicator of the applicability of a particular item presented to the user in response to a search query or recommendation. In some embodiments, the method may include accessing a user profile and a set of item attributes corresponding to an item. The method may further include determining an applicability score for the item. A set of color values may be assigned to the item based on the applicability score. An item view interface including the item and an applicability indicator is generated. The applicability indicator may be colored according to the set of color values assigned to the item.

Abstract: A method, system, and/or computer program product presents product recommendations based on input derived from a user's social network. A description of a product selected for purchase by a user is received. A social networking site is searched for information relevant to a characterization the product. The relevant information is characterized according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product. Characterized information about the product is then presented to the user.

Abstract: An external traffic advertisement system is provided that generates advertisement sets based on analysis of visits to a web site that were referred by an external source. The advertisement system aggregates the referral information for each referral type. A referral type may be defined by one or more of keyword text derived from the query text of the referrals, landing page type, external source, product identifier, and so on. The advertisement system may, for each referral type, aggregate the total revenue from the visits of that referral type and may generate a count of the number of converting visits for that referral type. The advertisement system then identifies those referral types whose aggregated information satisfies an advertisement criterion and generates an advertisement set for each identified referral type with a keyword derived from keyword text and with a link based on the landing page type of the referral type.

Abstract: In various example embodiments, systems and methods to provide sizing content recommendations are provided. An image of a user is received. The image includes a standard-sized marker. In response, sizing data for the user is determined using the image of the user that includes the standard-sized marker. Using the sizing data, a search is performed to determine items matching the sizing data. The matching items are presented to the user.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing recommendations are presented. Consistent with some embodiments, the method may include accessing a selection of queries executed on a database of items. The selection of queries may be used to retrieve a plurality of items from the database. The plurality of items may be grouped into one of multiple clusters based on similarities between items. The method may further include receiving a recommendation request related to an item corresponding to a first cluster of the multiple clusters. A recommendation may be generated using a related item selected from the first cluster.

Abstract: A computer-implemented method for generating a recommendation of a personalized ensemble. The method includes accessing customer data associated with a customer; enabling display of items on a three-dimensional shape; enabling selection of one of the items; and dynamically generating a recommendation of a personalized ensemble for the customer based on the selection of one of the items.

Abstract: One embodiment of the present invention provides a system for generating a product recommendation. During operation, the system receives graph data indicating vertices and edges of the graph. The vertices represent customers and products and the edges represent purchases. The system then receives a query of the graph to determine a product recommendation. Next, the system generates a finite-state machine (FSM) based on the query, executes the query, and determines whether a current state of the FSM is a traversal state. In response to the current state being a traversal state, the system generates a traversal FSM. The system then searches the traversal FSM for a nearest future traversal state, generates a bitmask for the future traversal state, and utilizes the generated bitmask when executing the future traversal state to generate the product recommendation.

Abstract: Systems and techniques for generating recommendations for items likely to be of interest to a user. Upon an indication that a recommendation may be needed by a user, a plurality of recommendations from different sources are generated and combined. Suitably, each recommendation includes parameters such as accuracy and confidence parameters. Combining the recommendations comprises adjusting the parameters based on a set of rules established by an operator of a system for combining recommendations. The rules may be adjusted by operator inputs through an interface and may be adjusted, if desired, during generation of a recommendation. At least one of the recommendation sources generates recommendations based on social grouping, wherein social groupings are identified based on connections between members and similarity of purchased between members, and wherein a recommendation for a specific user is generated by identifying groups to which the user belongs and items popular within such groups.

Abstract: An information processing system includes a terminal device and a server device. When recommending subsidiary contents, recommended contents are extracted at the server, and recommended content information is returned to the terminal device. At the terminal device, a recommendation order is set regarding the recommended contents which the recommended content information indicates, upon which the recommended contents are presented, such that recommended content extracting processing and recommendation order setting processing is dispersed among the server device and terminal device.

Abstract: A user may request a recommendation for an item from other users. Other users may respond to the request by recommending for or against items. Users may up-vote or down-vote the recommendations or responses of other users. The recommendations of the other users may be used to identify items and provide one or more recommendations to the requesting user. The original question and the responses may form a conversation thread. The recommendations may be inserted into the thread as responses, may be presented alongside the thread, or may be presented at the end of the thread. The recommendations may be based on one or more attributes of the user. The weight of the recommendations provided by other users may vary.

Abstract: Disclosed are methods, apparatus and systems for providing an intelligent shopping cart service that operates to alert a consumer when a product or service is not aligned with the consumer's preferences, criteria or requirements before a purchase transaction is consummated. In some embodiments, a consumer device includes a processor that stores intelligent shopping cart software in a memory, and that uses the intelligent shopping cart software to detect product or service identification data when a consumer adds a product or service to a shopping cart. The processor then determines, based on the product or service identification data, that the product or service is a mismatch when compared to predetermined consumer preferences, criteria or requirements. An alert indication is then provided to the consumer via an output component before a purchase transaction is consummated.

Abstract: Methods and systems for operating a marketplace. A first price for one or more financial options associated with one or more software products is determined based on a pre-determined set of factors. The one or more financial options include at least an option of buying to lease the one or more software products. The first price for the one or more financial options associated with the one or more software products is modified based on the one or more financial options opted by one or more users.

Abstract: The present disclosure addresses systems and methods to facilitate recommending an item page. The system may receive a reference to the item from a first device that corresponds to a first person. The system may generate an item page that refers to the item. The generating of the item page may be based on the received reference to the item. The system may detect that a quantity of received comments directed to the item exceeds a threshold amount. The received comments may be received by the system from a plurality of devices that correspond to second persons other than a seller of the item. An address of the generated item page may be sent to a second device that corresponds to a seller of the item. The sending of the address may be in response to the system detecting that the quantity of the received comments exceeds the threshold amount.

Abstract: Each user of the social network is prompted to list their favorite products (i.e., cell phones, computers, movies, cars, groceries, and others), services (i.e., accounting, carpet cleaning, legal, medical, landscaping, and others), people (i.e., celebrities, executives, consultants, specialist, and other people), and organizations (any business, non-profit organizations, and others). The data is then available for the member and other associated members to view and search. Members are allowed to only list items with positive ratings. Search results are organized based on the Search Criteria specified. The System is also utilizing a generic hardware/software interface that enables communication of the information directly from the place of business (Retail Store Interface).

Abstract: In a method for utilizing social networking services of a user to perform online retail services, a processor retrieves a set of contacts, wherein the set of contacts includes a first group of contacts of a first networking service and a second group of contacts of a second networking service, wherein each contact in the set of contacts has a corresponding link to information about that contact. A processor receives a request for an action to be executed, wherein the request includes gifting information, wherein the gifting information specifies a required relationship between the user and the one or more contact of the set of contacts. A processor determines the one or more contacts that have the required relationship with the user, as specified by the gifting information. A processor causes the action to be executed based on the determined one or more contacts.

Abstract: An apparatus and methods are provided for personalizing messages that are sent to a recipient when a user of a website wishes to “share” a particular webpage or content thereof with the recipient. The apparatus and methods, which are founded on non-transitory computer readable media, involve using information available about the recipient as well as information about a product or service displayed on the webpage to identify supplemental content to include in the message to the recipient regarding the shared webpage. The recipient's prior browsing and purchasing histories with the website, as well as the purchasing tendencies of other customers, may be particularly helpful in identifying relevant supplemental content.

Abstract: Computational systems may be provided to assist with compression garment recommendations. A measurement of a person's body part may be received, and a compression expected to be applied may be computed. The expected compression may be based upon an arm measurement and upon a known relationship between a size of the garment, such as a stretched circumference, and the compression applied to an object that stretches the garment to that circumference. Graphs and formulas may be used to represent physical properties of a compression garment by assigning compression levels for ranges of relevant circumferences for a multitude of points along a limb. Information about needs of a patient, patient's condition, compression sensitivity, desired compression class, or desired use may be considered as part of a computational analysis to assist in fitting garments. The disclosed recommendation systems may assist clinicians, patients, consumers, or other users in selecting suitable off-the-shelf compression garments.

Abstract: A method, system, and computer program product for assisting buying decisions using customer behavior analysis are provided in the illustrative embodiments. Product information comprising a set of product attributes is received about a grouping of products. Customer behavior information about a behavior of a customer is received from which a set of customer buying behavior factors is extracted. A customer buying behavior factor comprises an inferred preference of the customer for buying a product from the grouping of products. A weight is assigned to a customer buying behavior factor. A set of weighted customer buying behavior factors is mapped to a subset of the product attributes. At least one product is selected from the grouping of products such that the at least one product includes a subset of product attributes, and an overall weighted score of the at least one product exceeds a threshold.

Abstract: A system may include a similarity measurement processing unit configured to determine a plurality of similar users that are similar to a user based on similarity values including calculating the similarity values for pairs of users based on an importance vector and differences between rated items. The importance vector may include importance values corresponding to a plurality of items, and each importance value may represent a similarity importance of a corresponding item. Each similarity value may represent a level of similarity between the user and another user. Also, the system may include a rating processor configured to estimate a rating value of an unrated item for potential recommendation based on recommendations from the plurality of similar users, and provide a recommendation for the item based on the rating value.

Abstract: The present invention provides an elegant means of interaction between real-estate agents who employ mobile devices, wherein the property evaluation information created by any agent is shared with other agents, and wherein such property evaluations created from and collected from a plurality of mobile devices. In particular, property evaluations created by an agent are forwarded to a service provided in accordance with the present invention to communicate with other agents who may also employ mobile devices to review them. The present invention facilitates creation and sharing of au evaluation report that is created by a real-estate agent before a property sale is contracted or agreed to, typically when a property comes to the market for sale.

Abstract: Systems, methods and computer-storage media are provided for identifying query formulation suggestions in response to receiving a search query. A portion of a search query is received. Query formulation suggestions are identified by semantically analyzing the search query. The query formulation suggestions are used to further formulate the received search query. The query formulation suggestions include semantic-pattern-based query suggestions that are derived from semantic query patterns, one or more entities, and information associated with these entities. The query formulation suggestions are transmitted for presentation.

Abstract: Dynamically configuring OCR processing may include determining a device type and determining whether to perform optical character recognition (OCR) processing of the received image locally based on one or more OCR parameters. Example OCR parameters may include the device type, the image type, the size of the received image, the available amount of the memory, the measured/benchmarked throughput of OCR processing on the device relative to an OCR server throughput and network throughput, and/or the current level of network connectivity. If it is determined that OCR processing of the received image should be performed locally, the device may compute one or more name-value pairs corresponding to the received image and transmit the name-value pairs to a remote data server for processing.

Abstract: In one embodiment, a method includes accessing multidimensional data corresponding to a multidimensional space having at least three dimensions. Each dimension has a number of attributes characterizing the dimension, and each attribute is capable of providing variable information. The method includes retrieving data corresponding to each of at least three dimensions of the multidimensional space and generating for a user a recommendation based on the data retrieved from each dimension.

Abstract: Vehicle data concerning characteristics of one or more types of vehicle is obtained. Vehicle usage data concerning operation of one or more vehicles is also obtained. A value is predicted for at least one datum for at least one characteristic of the type of vehicle for the user. The at least one datum is used to generate at least one powertrain recommendation for at least one type of vehicle.

Abstract: Example apparatus and methods provide a recommendation to a user about a product they may wish to consider purchasing. One method produces a single indication concerning a relationship between a user and an item with which the user has interacted. The single indication identifies whether the user likes the item and the degree to which the user likes the item. The single indication is independent of user signals processed to compute the single indication. The single indication is produced by a signal deriver that is loosely coupled to a model of users and items. The model may be a matrix upon which matrix factorization can be performed. Although matrix factorization is performed, it is performed on vectors whose elements are independent of the signals processed by the signal deriver. Since users may have different preferences at different times, the degree to which the user likes the item may be manipulated.

Abstract: Disclosed herein is a system and method for identifying features of items that are more relevant for making recommendations to consumers for content that they may be interested in. The system determines the similarity between items that are recommend and items in the user's history and compares that similarity measure to the similarity measure calculated for a random item on the same features. From this similarity measure the relative impactfullness of a particular feature on a recommendation can be determined.

Abstract: A system, method, and computer program product are provided for determining information associated with an extracted portion of content. In use, a user is identified. Additionally, content generated by the user is identified. Additionally, a portion of the content is extracted. Further, information associated with the extracted portion of the content is determined. Further still, the determined information is added to a profile of the user. Also, an action is initiated, based on the profile of the user.

Abstract: A computing system is described that determines one or more of modes of transportation available to a user of a computing device to travel from a current location of the computing device to a particular destination such that the user is predicted to arrive at the particular destination by a particular future time. The computing system determines, based at least in part on a fitness goal associated with the user of the computing device, a recommended mode of transportation from the one or more modes of transportation, the recommended mode of transportation being a particular mode of transportation predicted to aid the user in achieving the fitness goal. The computing system outputs, for transmission to the computing device, an indication of the recommended mode of transportation.