Facebook, Inc.

Meta Platforms, Inc.

Aaron Payne Goldsmid

Stephen Moore Davis

Jireh Yiwei Tan

Brian Paihan Sa

Nikola Vilimonovic

In one embodiment, a method includes receiving a first query comprising one or more n-grams inputted by the first user at the client system, accessing by the client system a plurality of ideograms each being associated with one or more tags matching at least one of the n-grams of the first query, where the one or more ideograms are ranked in an order based on their respective user-probabilities each being calculated based at least in part on a frequency of use associated with the respective ideogram, presenting one or more of the ideograms at the client system in ranked order where each ideogram is selectable by the first user, and receiving a selection of one of the presented ideograms at the client system.

Searching for ideograms in an online social network

In one embodiment, a method includes receiving a first query inputted by a first user at a first client system, the first query including one or more n-grams; identifying ideograms, each ideogram being associated with one or more tags, each identified ideogram being associated with at least one tag matching at least one of the n-grams of the received first query; calculating, for each identified ideogram, a use-probability for the ideogram given the received first query, wherein the use-probability is based at least in part on a frequency of use associated with the ideogram; and sending, to the first client system, instructions for presenting a first set of ideograms comprising one or more of the identified ideograms, the first set being determined based on the calculated use-probabilities associated with the ideograms.

In one embodiment, a method includes receiving a query inputted at a mobile device of a user of an online social network. The query may include n-grams (e.g., words, emoticons, and punctuation marks), and may be, for example, a message to another user or search terms. N-grams may be mapped to tags, which may, in turn, be mapped to ideograms (i.e., stickers). One or more ideograms may be identified based on the one or more ideogram being associated with tags matching n-grams of the query. For each of the identified ideograms, a probability quantifying how likely the user is to select the ideogram is calculated based on how frequently the ideogram has been used. A set of ideogram suggestions, including one or more of the identified ideograms, is generated based on the probabilities and sent to the user's mobile device for display to the user.

Growing community of inventors

San Francisco, CA, United States of America

Aaron Payne Goldsmid