Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A network device, system, and method are directed towards detecting trusted reporters and/or abusive users in an online community using reputation event inputs, such as abuse reports. When an abuse report is received for a content item, the combined trust (reputation) of previous reporters on the reported content item and the trust (reputation) of the content author are compared to determine whether to trust the content item. If the content item is un-trusted, the content item may be hidden from public view. In one embodiment, the content item might still be visible to the content author, and/or members in the author's contact list, or the like, while being hidden from another user in the community. In one embodiment, the author may appeal the determined trust, and results of the appeal may be used to modify a trust of at least one reporter.

Abstract: Targeted location-based search results can be provided to a user of a travel system based on one or more tribes of users to which the user belongs. A user can provide a search query, and a set of locations can be identified in response. A subset of the set of locations is selected for display based on a correlation between a tribe vector associated with the user and tribe vectors associated with each identified location. A user can also request content objects from the travel system, for instance by navigating to a page associated with a location including portions for displaying content objects. A set of content objects is identified in response to a request for content, and a subset of the content objects is selected for display based on a correlation between the tribe vector associated with the user and tribe vectors associated with each content object.

Abstract: Targeted location-based search results can be provided to a user of a travel system based on one or more tribes of users to which the user belongs. A user can provide a search query, and a set of locations can be identified in response. A subset of the set of locations is selected for display based on a correlation between a tribe vector associated with the user and tribe vectors associated with each identified location. A user can also request content objects from the travel system, for instance by navigating to a page associated with a location including portions for displaying content objects. A set of content objects is identified in response to a request for content, and a subset of the content objects is selected for display based on a correlation between the tribe vector associated with the user and tribe vectors associated with each content object.

Abstract: The creation of digital postcards allows users to combine location information with images for display in a postcard interface. An image selection is received from a user. Location data associated with the image and describing a location at which the image was captured is accessed. One or more candidate locations located within a threshold distance of the location are identified, and a selection of a candidate location is received from the user. Location information associated with the selected candidate location is accessed, and the image is modified to include one or more portions of the accessed location information. The modified image is stored as a digital postcard in a memory for subsequent access and display.

Abstract: User equipment and/or devices equipped to engage in textual communication sessions also interface to a server. The server maintains a thesaurus bank that includes a variety of different thesauri. When engaging in a textual communication or editing session, the user or the user equipment can request or may automatically receive a relevant thesaurus. As the user enters characters to create a textual entry, the selected thesaurus is searched to identify candidate completions. The user can then select one of several displayed candidate completions. In addition, the user input can also be delivered to the server and used to update the content of the thesauri.

Abstract: User equipment and/or devices equipped to engage in textual communication sessions also interface to a server. The server maintains a thesaurus bank that includes a variety of different thesauri. When engaging in a textual communication or editing session, the user or the user equipment can request or may automatically receive a relevant thesaurus. As the user enters characters to create a textual entry, the selected thesaurus is searched to identify candidate completions. The user can then select one of several displayed candidate completions. In addition, the user input can also be delivered to the server and used to update the content of the thesauri.

Abstract: A network device, system, and method are directed towards detecting trusted reporters and/or abusive users in an online community using reputation event inputs, such as abuse reports. When an abuse report is received for a content item, the combined trust (reputation) of previous reporters on the reported content item and the trust (reputation) of the content author are compared to determine whether to trust the content item. If the content item is un-trusted, the content item may be hidden from public view. In one embodiment, the content item might still be visible to the content author, and/or members in the author's contact list, or the like, while being hidden from another user in the community. In one embodiment, the author may appeal the determined trust, and results of the appeal may be used to modify a trust of at least one reporter.

Abstract: A network device, system, and method are directed towards detecting trusted reporters and/or abusive users in an online community using reputation event inputs, such as abuse reports. When an abuse report is received for a content item, the combined trust (reputation) of previous reporters on the reported content item and the trust (reputation) of the content author are compared to determine whether to trust the content item. If the content item is un-trusted, the content item may be hidden from public view. In one embodiment, the content item might still be visible to the content author, and/or members in the author's contact list, or the like, while being hidden from another user in the community. In one embodiment, the author may appeal the determined trust, and results of the appeal may be used to modify a trust of at least one reporter.

Abstract: A system and method is described for constructing a proximity-based ad hoc network among a plurality of sensor-enabled devices and for using such a network to facilitate data sharing among users of those devices (referred to herein for simplicity as “sensors”). The system and method advantageously enables data to be shared among co-located sensors in a manner that does not require local connections or communication among those sensors and that protects user privacy. The system and method also beneficially enables data to be transferred among heterogeneous sensor types that would otherwise be incapable of detecting and/or communicating with each other. The system and method may perform user-initiated data transfer as well as automatic data transfer responsive to sensor proximity and other factors, such as commonality of user interests or activities or membership in a social network.

Abstract: A system and method is described for constructing a proximity-based ad hoc network among a plurality of sensors and for using such a network to perform location tracking. The system and method uses time-coded data received from each of the sensors to determine a current proximity of each of the sensors to one or more beacons. Then, by leveraging information relating to the effective transmission ranges of the beacons, the system and method determines the relative location of each of the plurality of sensors with respect to other sensors within the plurality of sensors. Where actual (as opposed to relative) location information is available for a particular sensor, it can be used to generate or augment location information associated with other sensors known to be spatially and temporally proximate to the particular sensor. The current location information for each of the sensors is then used in providing location-based services.

Abstract: A system and method is described herein for managing power consumption by a plurality of sensors in a proximity-based ad hoc network. The system and method receives sensor data that is provided from a plurality of sensors and constructs a proximity-based ad hoc network among the plurality of sensors based on the sensor data. The system and method also receives and analyzes power status information from each sensor in a group of spatially and temporally proximate sensors in the proximity-based ad hoc network. Based on the analysis, the system and method then modifies a manner in which at least one sensor in the group provides sensor data.

Abstract: A system and method is described herein that automatically provides users with recommendations regarding location tracking privacy policies that may be appropriate to enact in certain contexts as well as a means for enacting such policies. Once a privacy policy is enacted, the manner in which location information associated with the user is provided to at least one application or service will be controlled in accordance with the privacy policy. The recommended privacy policies may represent privacy policies that have been enacted by other users in like contexts.

Abstract: A location tracking privacy engine is described herein that is configured to allow users to define privacy policies that govern how location information about each user is provided to context-aware applications and services. Privacy policies can be defined in a highly flexible and context-specific manner such that the execution of a given privacy policy by the location tracking privacy engine is dependent on the existence of one or more social, topical, temporal or spatial conditions. Privacy policies are then executed automatically by the location tracking privacy engine when the conditions associated with the policies are determined to be satisfied.