Patent Document ID: 8943070
Application ID: 12838427

Base Claim:
1. A method, comprising: computing, by a processor, a plurality of sets of candidate tags for a document, wherein the plurality of sets of candidate tags include a set of candidate tags based on document-specific factors including keywords in the document, a set of candidate tags based on collaborative factors including tags that other users have applied to the document, a set of candidate tags based on personalized factors including information about a user and a set of candidate tags based on tag co-occurrences factors including tags that are often applied together with certain keywords; combining the plurality of sets of candidate tags from different factors into an overall recommendation list of candidate tags; returning at least one suggested tag from the overall recommendation list of candidate tags; recording at least one applied tag that is applied to the document by a user of a computer system; and adjusting the overall recommendation list of candidate tags based on the at least one applied tag.

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Claim 6:
6. The method of claim 1 , wherein computing candidate tags further comprises: computing a co-occurrence information among existing tags applied by users and keywords of existing bookmarked documents; and associating an importance score with each tag that co-occurred with a keyword in the document to be recommended tags on, in accordance with the co-occurrence information.