ives could opt to have their presence visible to their boss, but, after 5:30 p.m., location sharing with the boss can be disabled. Additionally, a sales rep might permit important customers to see his or her presence at anytime, but only with an accuracy of up to 10 miles. This capability would be especially helpful when a sales rep is visiting a key customers' competitor, for example. As for the problem of unsolicited pitches from retailers, whether in the form of coupon spamming or short message service (SMS) advertisements, the PCP framework enables users to specify which kinds of businesses are allowed to see their location in a particular context, if at all. For example, a user may be interested in receiving a coupon from their favorite coffee retailer only when shopping, or on weekends before 9:00 a.m., or when within one mile of a golfing buddy. If none of these conditions holds, that user and his or her location would not appear to that retailer. "The Bell Labs PCP framework promises to give mobile users the benefits they want from sharing location information without having to buy into a wholesale surveillance mechanism," says Jason Catlett, president of Junkbusters, a privacy advocacy firm located in Green Brook, New Jersey. "The fine-grained options, allowing the user to consent to disclosure of location according to place, time, and person are important to avoid being monitored 24/7." A key challenge in the personalization of telecommunications services is the realization that various kinds of factors and preferences are relevant to different applications (e.g., sharing location information versus call forward- ing) and different classes of users (e.g., office workers versus students, basic users versus power users). Bell Labs' PCP framework will allow network oper- ators to preconfigure and offer different preference "palettes" tailored to these different applications and classes of users. The palettes could, for example, have drop-down menus prepopulated with the kinds of rules most relevant for spe