Abstract: A method is provided in one example embodiment and includes receiving a request from a first user to browse a pool of date requests, where each of the date requests is associated with a potential match in a computer-implemented matching system and includes at least one of a calendar date and a location. The method further includes presenting to the first user information regarding the potential match associated with one of the date requests, and sending a date invitation to the potential match associated with the particular one of the date requests.

Abstract: A method is provided in one example embodiment and includes processing a first text created by a user into a first bag of words, the first bag of words comprising a list of words that appear in the text, each of the words having associated therewith a number representing a number of times the associated word appears in the text; and computing a similarity between the first bag of words and at least one second bag of words. The method further comprises comparing the computed similarity with a threshold; and_determining that the user is a spammer if the computed similarity bears a first relationship with the threshold.

Abstract: A method is provided in one example embodiment and includes establishing a pool of potential matches for a user in a computer-implemented matching system, in which each of the potential matches meet at least one criteria of the user; determining a messaging score for each of the potential matches of the pool, the messaging score indicating a messaging aptitude of the potential match; and ranking the potential matches, where each of the potential matches is ranked based on a similarity of the messaging score of the potential match to a messaging score of the user. In one embodiment, the method may further include presenting to the user results of the ranking.

Abstract: A method is provided in one example embodiment and includes processing a first text created by a user into a first bag of words, the first bag of words comprising a list of words that appear in the text, each of the words having associated therewith a number representing a number of times the associated word appears in the text; and computing a similarity between the first bag of words and at least one second bag of words. The method further comprises comparing the computed similarity with a threshold; and determining that the user is a spammer if the computed similarity bears a first relationship with the threshold.

Abstract: A method is provided in one example embodiment and includes identifying a user in a computer-implemented matching system as having paid a fee for additional promotion of the identified user during a promotional period; and, during the promotional period, providing impressions for the identified user in accordance with an impression probability calculated to achieve a promotional target with respect to the user, wherein the impressions comprise presenting the identified user to other users in the computer-implemented matching system. In one embodiment, the promotional target comprises a target number of visits by other users to a profile of the identified user during the promotional period. In another embodiment, the promotional target comprises a target number of impressions for the identified user during the promotional period.

Abstract: A method is provided in one example embodiment and includes identifying a user in a computer-implemented matching system as having paid a fee for additional promotion of the identified user during a promotional period; and, during the promotional period, providing an increased number of impressions for the identified user to achieve a promotional target with respect to the user, in which the impressions comprise presenting the identified user to other users in the computer-implemented matching system. The method further includes providing evidence to the identified user of each of the impressions during the promotional period; and providing at least one premium service to the identified user to enable the identified user to optimize use of the computer-implemented matching system.

Abstract: A method is provided in one example embodiment and includes determining a first number of users who have indicated an intention to attend an event; determining what fraction of the first number of users is a particular gender; and using the determined fraction and an ideal fraction of the particular gender for the event to determine an additional number of males or an additional number of females to be invited to attend the event.

Abstract: A method is provided in one example embodiment and includes determining a score for at least one parameter associated with an event and a user and applying to the score a filter associated with the at least one parameter to determine whether the score falls within a range defined by the filter. The method also includes displaying the event to the user if the score falls within the range defined by the filter and hiding the event from the user if the score falls outside of the range defined by the filter.