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I have 3 different types of boolean preference data that I'm using to build 3 separate similarity object. I wanted to know if it is possible to combine these 3 similarity objects into one. I have 3 separate data files, one for items followed, items messaged, and item page views. All three files are CSV files of the form user_id, item_id. Item 101 and 567 might have a similarity rating of .047 based on the items followed data, but in the items messaged data the similarity could be .10. My question is how can I combine these to get one similarity rating between all items.

ray smith
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