Abstract: Embodiments determine a user who is watching current content, receive content history of the user, calculate a consumption score (CS) based on series time, watch time, and consumption time of the content history, calculate a time to forget (TTF) threshold value based on the CS, the series time, and days since last viewed of the content history, compare the CS and the TTF threshold value to the current content watched by the user and current viewing habits of the user, and provide at least one suggestion to re-watch content of the content history based on the comparing.

Abstract: A dispensing cap may include a cap body and a sealing assembly. The cap body may include a first opening, a second opening distinct from the first opening, and one or more guiding surfaces. The first opening may be configured to dispense a fluid (e.g., a liquid), and the second opening may be configured to pass a gas. The sealing assembly may be slidably attached to the one or more guiding surfaces of the cap body and may be translatable between a first position and a second position. In the first position, the sealing assembly seals the first opening and stops a flow of the gas through the second opening. In the second position, the sealing assembly does not seal the first opening and does not stop the flow of the gas through the second opening.

Abstract: A method for automatically and electronically generating a communication summary based on communications received on electronic communication systems is provided. The method may include, automatically determining whether new and different communications received on an electronic communication system relates to stored topics of interest to the user. The method may further include, in response to determining that the received new and different communications relate to the stored topics of interest, automatically extracting content from the new and different communications, and associating and storing the extracted content associated with at least one new communication with at least one related topic of interest from the stored topics of interest.