Abstract: A user can selectively customize what data is provided to a search engine to influence a degree of personalization of search results. Personalized search engine results can thereby be provided to one or more applications on a client device, such as a mobile phone. The data provided to the search engine can include any of a variety of user preferences stored on the client device (e.g., music, music ratings, search queries, search results selected, etc.), or other user information, such as current location or the location of the user when applications were downloaded. Social networking websites can also be used for supplying data to the search engine.

Abstract: Personalized media filtering for a mobile electronic device can be implemented. By supporting receipt of personal media filter criteria, flexible personalization options can be implemented. Personalized media filtering can allow for interactively receiving personal media filter criteria and applying the filter criteria to the media content during the media presentation. One possible blocking response is to block portions of the content. Other possible responses include switching between broadcast stations or playlists. A prevalence metric can indicate how often a particular content item, such as a word, has been filtered from the media content. When the prevalence metric exceeds a threshold, the technology can automatically respond in a variety of ways, such as by blocking a source of the presented media content from future presentation. Interactively establishing personalized filter criteria can be implemented during ongoing presentation, for immediate use in filtering during the presentation.