A computer implemented system for an intelligent timeline includes computer readable instructions to operate a timeline engine, a logic extraction and application engine, a calendar engine, a performance evaluation engine, an advertisement placement engine, and a social networking engine that are interconnected to one another. The timeline engine creates a timeline of events containing external events and/or an owner's actions. Each event has a timestamp such that the events may be arranged in the order of timestamps. The logic extraction and application engine extracts the logical inferences from the events to be used by the timeline engine. The calendar engine creates a calendar containing the events and other reminders. The performance evaluation engine creates performance evaluation results of an owner's actions based on the events. The timeline of an owner may be sold or shared on the owner's social networking channel to subscribers. Advertisement placement engine facilitates advertisement transactions related to the timelines.

Examples are directed to a manner in which users are admitted and/or removed from online social groups. In an example, a computer implemented method includes registering a plurality of users for an application associated with a plurality of online social groups, each online social group having corresponding criteria and a location based filter to join the group. The method further includes maintaining one or more tags of each user, and maintaining and tracking a location parameter of each user. The method further includes matching a first user to a first online social group, based on one or more corresponding tags and the location parameter of the first user satisfying the one or more criteria and the location based filter, respectively, of the first online social group. Based on matching the first user to the first online social group, the first user is admitted to the first online social group.

Systems, methods, and non-transitory computer-readable media can determine a content item being posted to a social networking system. A selection of an option to obfuscate at least one portion of the content item can be determined. The at least one portion of the content item can be obfuscated.

An online system predicts whether a location will experience a threshold increase in traffic over the location's historical average amount of traffic. To predict a future deviation over historical traffic, the online system identifies events within a threshold distance of the location and determines an average number of indications that users will attend events within a threshold radius of the location during a prior time interval. The online system determines a total number of indications that users will attend future events within the threshold distance of the location, disregarding locations associated with less than a threshold number of future events and future events for which the online system received less than a threshold number of indications that users will attend, and determines a ratio of the total number of indications to the average number of indications that users will attend received for the prior events during the time interval.

Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device. The first communication device presents the first advertisement within navigation content utilizing the navigation application prior to presenting the second advertisement within the navigation content based on the determination. Other embodiments are disclosed.

Methods and systems for assembling remote workers in an online corporate environment are provided. The method includes a use of the system to filter a subpopulation from a population stored in a database, the population including members in the self-paced, online environment. The subpopulation can be selected to meet a first set of criteria for a grouping of members for a group interaction. Additional criteria can be added to provide control over the selection of members for the subpopulation and, thus, control over the design of groups to provide a desired group profile for the group interaction. The methods and systems provided can align and group members of the self-paced, online environment for a group interaction, as well as electronically proctor and otherwise monitor and control the interaction.

In implementations of multi-item influence maximization, a computing device can obtain updates to a user association graph that indicates social correspondence between users, and obtain updates to a user-item graph that indicates user correspondence with one or more items. The computing device includes an influence maximization module that can update an item association graph that indicates item correspondence of each item with one or more other items, where the item association graph can be updated based on the user-item graph that indicates the user correspondence with one or more of the items. The influence maximization module can then iteratively determine a resource allocation for each of the users to maximize user influence of multiple items that are associated in the item association graph and based on the social correspondence between the users, as well as assign a variable portion of the resource allocation to any number of the users.

Systems and methods for color selection are provided and include a web server configured to communication computer executable instructions to a mobile device that configure the mobile device to access a social media platform, retrieve a plurality of images from the social media platform, determine a dominant color for each image of the plurality of images using different sample rates for different pixel groups based on how close each pixel group is to the center of the image, determine a closest matching paint color for the dominant color for each image, and display at least one of a color name and a color code associated with the closest matching paint color for the dominant color for each image.

Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing various athletic movements and generating performance characteristics based on the data corresponding to such athletic movements. Users may also be encouraged to participate in athletic challenges or competitions against other users or groups of users. In addition, athletic movement data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.

Disclosed are systems, methods, and computer-readable storage media to select content to present to a user are disclosed. In one aspect, a method includes determining a content consumption rate of the user, and selectively presenting content to the user based on the content consumption rate. The content consumption rate may be determined based on a number of media content presented to the user over a period of time. If the number is above a threshold, a first type of content may be presented, while if the number is below (or equal) to the threshold, a second type of content, or in some aspects, no content, may be presented. After the selective presentation, additional content may be presented regardless of the content consumption rate.