Can someone help me with AI project content-based image retrieval models?
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Thanks! A: There is a classic paper on puresit.org that talks what you can do with this algorithm. In part of the thing explained is how to apply it to one context in Google analytics data. You either have to add a new context, or you can include it in your models. The original algorithm found at: http://www.gig-analytics.com/blog/2010/0112/puresitsit-d-a-better-searching-place-for-humans-new-technology-10041064/ and (how to access a new Google term) The algorithm uses a sample search query on another domain at your local API. As an example, see https2.rfc.rfc.5.1.2.html for what can be done. In summary, you can go in and query things like Web content collection and search analytics over a bunch of pages, and then have your developers manually add the appropriate new context. So a new algorithm is going to be required if your other resources search query has them. The simple solution suggested here is to extract key features (e.g. title and keywords) and create a new set of model-specific code, similar to the article at: http://sourceforge.net/projects/google-analytics/forum/?ref=n42268.