Contextual ranking of keywords using click data

A method for annotating a document, the method comprising:

• generating a weight for a particular feature, wherein the weight indicates how well the particular feature predicts whether annotations associated with entities will be used;
• identifying a set of entities within the document;
• generating a first set of scores by generating, for each entity in the set, a score for said particular feature;
• generating a second set of scores based on said first set of scores and said weight;
• establishing a ranking of the entities in the set of entities based, at least in part, on the second set of scores;
• and
• annotating one or more entities in the document based, at least in part, on said ranking.

A computer-readable storage medium storing instructions, the instructions including instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of:

• collecting usage data that indicates how users interact with annotations contained in documents presented to the users, wherein said annotations are associated with entities contained in the documents;
• based on the usage data, generating weights for features of a feature vector;
• identifying a set of identified entities within a document;
• determining a ranking for the identified entities that belong to said set of identified identities based, at least in part, on
• (a) feature vector scores for each of the identified entities, wherein the feature vector scores correspond to features in the feature vector;
• and
• (b) the weights generated for the features of the feature vector.

A computer-readable storage medium storing instructions, the instructions including instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of:

• generating a weight for a particular feature, wherein the weight indicates how well the particular feature predicts whether annotations associated with entities will be used;
• identifying a set of entities within a document;
• generating a first set of scores by generating, for each entity in the set, a score for said particular feature;
• generating a second set of scores based on said first set of scores and said weight;
• establishing a ranking of the entities in the set of entities based, at least in part, on the second set of scores;
• and
• annotating one or more entities in the document based, at least in part, on said ranking.