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Some successful solutions to the Cold Start Problem include the use of collaborative filtering, content-based filtering, and hybrid methods. Collaborative filtering uses the behavior of other users to recommend items to the new user, while content-based filtering uses the properties of items to recommend similar items. Hybrid methods combine these two approaches. Another solution is to use popularity-based recommendations, where the most popular items are recommended to new users. Finally, some platforms use a technique called 'onboarding' where they ask new users to rate a few items to build an initial profile.
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Networked products should focus on the smallest network needed to sustain the product. Different products require differently sized first networks. For Slack, a small team within a company is enough for the platform to work. But, when the credit card was first launched by Bank of America in 1958, it was done so across the whole of Fresno, California.
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When a networked product launches, it faces a chicken-and-egg problem: people need to use it for it to be worth anything. So how do you start the very...
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