Abstract: A process, a system or both may be configured to correlate triggers indicative of an occurrence of one or more events or other data associated with lodging for a traveler, determine if one or more precedent conditions associated with the one or more events are satisfied, and generate one or more context-specific messages when the one or more precedent conditions have been satisfied. Context-specific messages may be communicated (e.g. wirelessly) to a client computing device (e.g., a smartphone, tablet or pad) pursuant to one or more precedent conditions being satisfied. The context-specific message(s) and at least one of the one or more precedent conditions may originate from a member computing device (e.g., a computing device of an owner or a proprietor). Geolocation based data included in one or more triggers may be used to activate communication of the context-specific message(s) and/or to satisfy one or more precedent conditions.

Abstract: An application executing on a computing device (e.g., a wireless computing device) may be configured to monitor and provide channelized stay data that includes tagged activities engaged in by a traveler during a stay at a rental property such as physical presence of the traveler at the rental property during the stay, searches conducted on the computing device, activities selected using the computing device and to verify participation by the traveler in one or more of the selected activities. A networked computing device may receive the channelized stay data and use data included in the channelized stay data to form a search key configured to filter out a subset of rental property listings, which may be of interest to the traveler, from a larger pool of rental property listings. The networked computing device may present the subset of rental property listings on a display of the computing device.

Abstract: A computing device may be configured to transition control over one or more functions of a rental unit to a user (e.g., a traveler) based on one or more of time, geo-location and access credentials. Access may be granted to the traveler to use one or more home automation functions including a HVAC system, a thermostat, lighting, security alarm, automated door locks, etc. An owner of the rental unit may have access to some or all of the home automation functions blocked during the traveler's stay at the rental unit, and at an end of the stay owner access to those functions may be enabled. Some functions may be activated prior to the traveler's arrival at the unit based on a time to arrival and/or distance from the unit. An application on a traveler's computing device may be configured to summon a repair service for the unit.

Abstract: A platform may include resources configured to receive information representing a phone call from a caller (e.g., a traveler) to a callee (e.g., a proprietor) and instead of immediately connecting the phone call may communicate a message to the caller telling the caller the call is being connected. Prior to connecting the phone call with the callee, the platform may connect with a proprietor device (e.g., a landline telephone or a smartphone) and communicate a message to the callee that an incoming phone call is from a potential customer and is being provided courtesy of a merchant electronic exchange. The message may further encourage the callee to join the merchant electronic exchange as a member and/or inform the callee of the number of leads it has provided to the callee. After communicating the message to the proprietor, the platform may connect the call between the caller and the callee.

Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for identifying activities and/or destinations of relative importance. More specifically, a system, a device and a method provide to predict activities (e.g., preferential activities) available at a geographic region association with lodging and to adaptively generate advisory data. In one or more embodiments, a method can include accessing traveler profile data associated with a user, identifying data representing a portion of traveler attributes associated with a geographic region including lodging for the user, and receiving data indicative of locality-related characteristics. The method also includes predicting a first activity as a function of a locality-related characteristic and a travel attribute, and generating customized advisory data configured to engage in an activity.

Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for identifying activities and/or destinations of relative importance. More specifically, a system, a device and a method are provided to determine interactions at a mobile computing device predict activities based on one or more types of interactions. Examples of activities include preferential activities available at a geographic region association with lodging In one or more embodiments, a method can include receiving data representing an interaction with a user interface, generating data summarizing the interaction to include an interaction type, and determining data representing a prioritized value indicative of a degree of the interaction.

Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for identifying activities and/or destinations of relative importance. More specifically, a system, a device and a method are provided to predict a type of companion with whom a traveler collaborates to, among other things, predict activities (e.g., preferential activities) available at a geographic region association with lodging. In one or more embodiments, a method can include determining a location at which a user computing device associated with a user is disposed, and calculating that a computing device associated with a candidate companion is within a region coterminous with the location. Also, the method may include predicting data representing a companionship type for data representing the candidate companion based at least the location at which the user and the candidate companion are co-located.

Abstract: Credential and/or location data included in data received by a networked system from a device that communicated the data to the networked system may be processed to determine if the credential data and/or location data validate an identity of a user (e.g., a guest, traveler, patron) and/or a location of the user based on a location of the device when the data is communicated. The data may be review data and the credential and/or location data may be included in review data. The device and/or the networked system may generate a location history database from location data from the device or other system that is periodically logged from multiple locations at different times during an event (e.g., a stay at a vacation rental). Data from the database may be used to determine if a location for a communication is with a threshold of an allowable distance from an allowable location.

Abstract: Review data associated with a guest experience at an event, such as a vacation rental, for example, is transmitted over a communications network to one or more networked computing devices for processing the review data into a review data file for publication. The review data may be generated by an application executing on a processor of a client device such as a smartphone, tablet or pad. The review data may include access credentials and location data that may be processed to validate that the review data is legitimate. The review data may include media content captured in-situ at the event while the guest is experiencing the event. Prior to publishing a review data file, an owner may receive a notice and/or a copy of the pending review data file and the owner may take action to cure a less than stellar review and/or amend the review prior to publication.