Abstract: In some embodiments, a method comprises receiving at least two parameters for a gift exchange from an organizer of the gift exchange. The at least two parameters can comprise a set of participants and a budget. The method further comprises identifying a gift exchange recipient for a respective participant in the set of participants, determining one or more gifts for the gift exchange recipient based at least in part on the budget and a first trust graph, and arranging for display the one or more determined gifts to the respective participant. In many embodiments, the first trust comprises levels of trust associated with the gift exchange recipient. Other embodiments also are disclosed herein.

Abstract: Various embodiments of systems and methods for recommendation scraping include a method comprising receiving a content feed, wherein the content feed is associated with a holder and identifying at least one post within the content feed comprising a mention of a respective item. In many embodiments, the method can further comprise generating an item recommendation corresponding to the respective item, associating the item recommendation with a profile associated with the holder, and sending instructions to present the item recommendation to one or more users. Other embodiments are also disclosed herein.

Abstract: In some embodiments of methods and systems of purchasing products via a subscription mechanism, a method comprises, presenting a subscription mechanism corresponding to a first user, wherein the subscription mechanism is associated with a set of products. In many embodiments, the method further comprises receiving a notification from a second user selecting the subscription mechanism corresponding to the first user, determining that one or more conditions are satisfied, and causing at least a portion of the set of products associated with the subscription mechanism to be purchased by the second user. Other embodiments also are disclosed herein.

Abstract: In accordance with some implementations, a method for responding to requests submitted through a conversational interface is disclosed. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system receives a request from a user through a conversational interface. The server system determines, based on the request, whether the system is able to fulfill the request automatically. In accordance with a determination that the system is able to fulfill the request automatically, the server system fulfills the user request with no human interaction. In accordance with a determination that the system is not able to fulfill the request without human intervention, the server system sends the request to a human operator for fulfillment.

Abstract: Various embodiments of systems and methods for obtaining product recommendations include a method comprising receiving from a requestor a recommendation request and determining a first level category associated with the recommendation request. In many embodiments, the method further comprises sending instructions to display the recommendation request to one or more first users within a trust network of the requester, wherein the first users are identified as trusted by the requester with respect to the first level category, and if one or more first conditions are satisfied, send instructions to display the recommendation request to one or more second users, wherein each second user is within a respective trust network of a respective first user and is identified as trusted by the respective first user with respect to the first level category. Other embodiments also are disclosed herein.

Abstract: Various embodiments of methods and systems for providing a collections search include a method comprising determining one or more recommendations from a set of users within a trust network of a first user, wherein each user from the set of users is associated with one of the plurality of first recommendations and determining a category for each of the one or more recommendations. In many embodiments, the method further comprises arranging one or more collections of the one or more recommendations according to the category for each of the one or more recommendations and arranging for display the one or more collections. Other embodiments are disclosed herein.

Abstract: Various embodiments of systems and methods for recommendation scraping include a method comprising receiving a content feed, wherein the content feed is associated with a holder and identifying at least one post within the content feed comprising a mention of a respective item. In many embodiments, the method can further comprise generating an item recommendation corresponding to the respective item, associating the item recommendation with a profile associated with the holder, and sending instructions to present the item recommendation to one or more users. Other embodiments are also disclosed herein.

Abstract: Various embodiments of methods and systems for providing a catalog of trending and trusted items include a method comprising determining a plurality of first recommendations from a set of users within a trust network of a first user, wherein each user from the set of users is associated with one of the plurality of first recommendations, determining respective time differences between respective chronologically successive first recommendations of the plurality of first recommendations, and determining one or more second recommendations that satisfy one or more popularity criteria. In many embodiments, the method further comprises arranging for display the first recommendations in a chronologically based order, and one or more of the second recommendations, wherein a respective second recommendation is inserted between respective chronologically successive first recommendations whose time difference is greater than a threshold. Other embodiments are disclosed herein.

Abstract: In some embodiments, a method of trusted gifting comprises, identifying a first user, identifying a second user associated with an event, and determining one or more potential products for the second user according to one or more criteria. In many embodiments, the method further comprises causing at least one product of the one or more determined potential products to be purchased for the second user by the first user. Other embodiments also are disclosed herein.

Abstract: In some embodiments of methods and systems of purchasing products via a subscription mechanism, a method comprises, presenting a subscription mechanism corresponding to a first user, wherein the subscription mechanism is associated with a set of products. In many embodiments, the method further comprises receiving a notification from a second user selecting the subscription mechanism corresponding to the first user, determining that one or more conditions are satisfied, and causing at least a portion of the set of products associated with the subscription mechanism to be purchased by the second user. Other embodiments also are disclosed herein.

Abstract: In some embodiments, a method comprises receiving at least two parameters for a gift exchange from an organizer of the gift exchange. The at least two parameters can comprise a set of participants and a budget. The method further comprises identifying a gift exchange recipient for a respective participant in the set of participants, determining one or more gifts for the gift exchange recipient based at least in part on the budget and a first trust graph, and arranging for display the one or more determined gifts to the respective participant. In many embodiments, the first trust comprises levels of trust associated with the gift exchange recipient. Other embodiments also are disclosed herein.

Abstract: A computer-implemented system and method is disclosed for retrieving documents using context-dependant probabilistic modeling of words and documents. The present invention uses multiple overlapping vectors to represent each document. Each vector is centered on each of the words in the document and includes the local environment. The vectors are used to build probability models that are used for predictions of related documents and related keywords. The results of the statistical analysis are used for retrieving an indexed document, for extracting features from a document, or for finding a word within a document. The statistical evaluation is also used to evaluate the probability of relation between the key words appearing in the document and building a vocabulary of key words that are generally found together. The results of the analysis are stored in a repository. Searches of the data repository produce a list of related documents and a list of related terms.

Abstract: In accordance with some implementations, a method for storing levels of trust between users for use in online e-commerce is disclosed. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system stores trust information for a plurality of users, wherein each user has an associated level of trust with one or more other users in the plurality of users. The server system receives, from a first user, a trust indication for a second user in the plurality of users. The server system then updates the trust information of the first user based on the trust indication.

Abstract: In accordance with some implementations, a method for requesting user data is disclosed. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system establishes a user profile for a user. The user profile includes one or more information items associated with the user. The server system receives a request from the user to access additional services. In response to receiving the user request, the server system requests additional information from the user.

Abstract: A computer-implemented system and method is disclosed for retrieving documents using context-dependant probabilistic modeling of words and documents. The present invention uses multiple overlapping vectors to represent each document. Each vector is centered on each of the words in the document, and consists of the local environment, i.e., the words that occur close to this word. The vectors are used to build probability models that are used for predictions. In one aspect of the invention a method of context-dependant probabilistic modeling of documents is provided wherein the text of one or more documents are input into the system, each document including human readable words. Context windows are then created around each word in each document. A statistical evaluation of the characteristics of each window is then generated, where the results of the statistical evaluation are not a function of the order of the appearance of words within each window.

Abstract: A computer-implemented system and method is disclosed for retrieving documents using context-dependant probabilistic modeling of words and documents. The present invention uses multiple overlapping vectors to represent each document. Each vector is centered on each of the words in the document, and consists of the local environment, i.e., the words that occur close to this word. The vectors are used to build probability models that are used for predictions. In one aspect of the invention a method of context-dependant probabilistic modeling of documents is provided wherein the text of one or more documents are input into the system, each document including human readable words. Context windows are then created around each word in each document. A statistical evaluation of the characteristics of each window is then generated, where the results of the statistical evaluation are not a function of the order of the appearance of words within each window.