Abstract: Systems and methods are provided to maintain the privacy of a user's actions and/or experiences on a computer network. The user's privacy is maintained by making the user, the user's data and the user's tracks anonymous to network operators and content providers, while supporting pattern analysis for purposes including, but not limited to, analytics, reputation management, search, discovery, hashtag or geotag management. Unique and dynamically generated tokens are used to make the user's identity and actions anonymous during the user's activities, exchanges or communications on the computer network. Collected information regarding the actions of the anonymous users can be used to generate analytical data. However, the collected information is not associated with an individual user unless that user is a registered user and even then, a specific user's data and track are only available to that user.

Abstract: Systems and methods are provided for capturing user analytics for user experiences on, for example, a website, mobile application, and/or at an offline location, venue and/or event without requiring a programmer to provide specialized code in each instance. When a user event occurs, such as a click or other selection of an object and/or user action, a user analytics system captures and stores information about the event. The captured information is such that an administrator or other user is capable of identifying the object and associated analytics by viewing the captured information and/or graphical representations thereof. In addition, a user may define a model flow for comparison to actual user flows by simply navigating through a website, mobile application, and/or at an offline location, venue and/or event in a manner that the user believes is similar to how other users will navigate through the website, mobile application, and/or at an offline location, venue and/or event.

Abstract: A hashtag management system permits a user to review a ranked or unranked list of hashtags that are correlated with an object of interest and to manipulate the list, such as by adding or deleting hashtags or by rearranging the ranking and to use the list for the purposes of contextual search and/or discovery. Based on the inputs of multiple users manipulating the hashtags, the system determines trends and/or preferences, search and/or discovery priorities and provides information about the trends and/or preferences to users who may use such information in order to select one or more of the hashtags for sharing across a social media platform and/or for the purposes of search and/or discovery. Additionally, the system facilitates the process by which the selected hashtags are shared across social media platforms in conjunction with the corresponding object and/or searching and/or discovering related objects.

Abstract: A system has a reputation management server that provides a reputation score for each subscriber based on ratings of the subscriber retrieved from one or more transactional servers. The data from the one or more servers is processed to provide an aggregated rating for each subscriber. Another user, such as a buyer or seller in a transaction with the subscriber, can access the reputation management server and be provided with access to the subscriber's rating(s). The reputation management server uses a statistical model to generate statistical data of subscribers based on their retrieved ratings, and the reputation management server assigns a percentile rating to subscribers based on the generated statistical data.