This document describes the collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.

A recommendation method is provided. In the method, a candidate item to be recommended to a social network user is obtained. The social network user has at least two different types of social relationships. For at least one target social object in each of the at least two different types of social relationships of the social network user, attention of each of the at least one target social object in the respective type of social relationship to the candidate item is determined. According to the attention of each of the at least one target social object in the at least two different types of social relationships to the candidate item, a comprehensive attention of the target social objects of the at least two different types of social relationships to the candidate item is determined. According to the comprehensive attention, whether to recommend the candidate item to the social network user is determined.

Methods, apparatus, and articles of manufacture to correct misattributions of media impressions are disclosed. An example method includes obtaining first demographic-based impressions via a beacon transmitted in response to access to content by a first set of panelists, obtaining, from a database proprietor, second demographic-based impressions of the content on a second set of persons, forming a pseudo-inverse matrix determined based in part on the first impressions, and having a truncated value and a damped value to form third demographic-based impressions of the content on the second set of persons based on the second impressions, and computing at least partially corrected demographic-based impressions values by multiplying a vector of database proprietor impression data by the pseudo-inverse matrix.

Systems and methods are described for providing an enhanced rebate and marketing program which may automatically enroll a consumer in a loyalty programs after the consumer completes rebate form; filter consumer information to provide to customer relationship management campaigns; capture real-time consumer responses to queries; provide real-time and dynamic, targeted offers and other communications to consumers and recipients; and provide bonus added value to consumer received rebates.

Disclosed examples include accessing a search term from a client device; accessing a first identifier, the first identifier corresponding to a first database proprietor, the first identifier to access first user information corresponding to a user of the client device; accessing a second identifier, the second identifier corresponding to a second database proprietor, the second identifier to access second user information corresponding to the user of the client device; providing the search term, the first identifier, and the second identifier in a message; and transmitting the message to a server.

Systems and methods are described herein for learning an entity’s trust model and risk tolerance. An entity’s trust score may be calculated based on data from a variety of data sources, and this data may be combined according to a set of weights which reflect an entity’s trust model and risk tolerance. For example, an entity may weight data of a certain type more heavily for certain types of transactions and another type of data more heavily for other transactions. By gathering data about the entity, a system may predict the entity’s trust model and risk tolerance and adjust the set of weights accordingly for calculating trust scores. Furthermore, by monitoring how entities adjust weights for different transaction types, default weighting profiles may be created that are customized for specific transaction types. As another example, an entity’s trust score, as reported to a requesting entity, may be adjusted based on that requesting entity’s own trust model, or how “trusting” the requesting entity is.

Utilization of a selection ring to select icons is provided herein. The selection ring is presented in a first graphical user interface. In response to receiving a first selection of the selection ring by a user, a plurality of icons are presented in the first graphical user interface. User manipulation of a position of the selection ring within the first graphical user interface is received, where that manipulation occurs without altering a location of the plurality of icons being presented within the first graphical user interface. In response to receiving a second selection associated with the selection ring, an icon from the plurality of icons is selected based on the position of the selection ring within the first graphical user interface. A second graphical user interface is then presented to the user based on the selected icon.

Systems and methods for presenting graphical user interfaces corresponding to users and including portions of one or more chat sessions the users are participants in, the chat sessions facilitating synchronous textual communication between the users that takes place through a chat system are disclosed. Some implementations may: obtain chat information characterizing participants in the chat sessions; and effectuate presentation, responsive to receiving user input indicating a selection of the first user by the second user, of a first graphical user interface corresponding to the first user via a client computing platform associated with the second user.

Systems and methods of inferential user matching include inferring an interest in matching between the first user and the second user based at least in part on a first profile of a first user and a second profile of a second user. Based at least in part on the inferred interest in matching, the systems and methods match the first user and the second user for a service, and transmit (i) a first representation of the first user to a portable device of the second user, and (ii) a second representation of the second user to a portable device of the first user.

A method, system, and recording medium for managing official accounts is disclosed. An official account management method includes the steps of setting a relation between official accounts that are accounts of sponsors on a messenger, and managing the official accounts by classifying the official accounts in a related account group in accordance with the relation between the official accounts.