Suggesting Tags on Online Social Networks
Abstract:
In one embodiment, a method includes accessing one or more content objects associated with a first user of an online social network; generating a set of tag candidates by extracting one or more n-grams from the content objects, wherein each tag candidate comprises one or more text strings or ideograms from the extracted n-grams; calculating, for each tag candidate of the set of tag candidates, a quality-score for the tag candidate based on an affinity coefficient between the first user and a respective content object from which the n-grams or ideograms comprising the tag candidate were extracted; and sending, to a client system for display, one or more of the tag candidates as suggested tags for the first user, wherein each suggested tag has a quality-score greater than a threshold quality-score.
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