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We describe an approach to personalizing World-Wide Web navigation that combines ideas from social filtering and social navigation. Specifically, we propose a method for (a) automatically finding the boundaries of user communities by clustering users around web places, which we define as locations in web space that are bound together by common usage patterns; and then (b) adapting what web users see to the places community members congregate. We describe our implementation of web places based on the Web Browsing Intermediaries (WBI) framework (Barrett, Maglio, & Kellem, 1997; Barrett & Maglio, 1998), and suggest future work to help judge its utility.