Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of candidate values for a field in a page. The set of candidate values can be evaluated for accuracy based at least in part on a machine learning model, wherein the machine learning model outputs a respective score for each candidate value that measures an accuracy of the candidate value for the field in the page. A best scoring candidate value can be determined from the set of candidate values. The field in the page can be associated with the best scoring candidate value.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of candidate values for a field in a page. The set of candidate values can be evaluated for accuracy based at least in part on a machine learning model, wherein the machine learning model outputs a respective score for each candidate value that measures an accuracy of the candidate value for the field in the page. A best scoring candidate value can be determined from the set of candidate values. The field in the page can be associated with the best scoring candidate value.

Abstract: A social networking system allows its users to provide metadata for association with objects maintained by the social networking system. Some of the metadata may be presented to other users along with the object. To prevent association of inaccurate metadata with an object, the social networking system determines a confidence value associated with a user who provided metadata for association with an object. The confidence value indicates of the accuracy of metadata provided by the user relative to information associated with the object. If the user has previously provided less than a threshold amount of metadata to associate with objects, the confidence score is determined using characteristics associated with the user by the social networking system. The metadata provided by the user is stored but not associated with the object if the user's confidence value is less than a threshold value.

Abstract: A social networking system allows its users to provide metadata for association with objects maintained by the social networking system. Some of the metadata may be presented to other users along with the object. To prevent association of inaccurate metadata with an object, the social networking system determines a confidence value associated with a user who provided metadata for association with an object. The confidence value indicates of the accuracy of metadata provided by the user relative to information associated with the object. If the user has previously provided less than a threshold amount of metadata to associate with objects, the confidence score is determined using characteristics associated with the user by the social networking system. The metadata provided by the user is stored but not associated with the object if the user's confidence value is less than a threshold value.