Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A LEAD GENERATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to identify leads for users based on user-entered information, user contacts, and/or the properties associated with a user and/or in which a user is interested. Leveraging connectivity between contract relationship management functionality, property listing service features, intelligent inbox coordination capabilities, and/or the like, the HUB may identify connections between user requirements and/or assets and opportunities to fulfill those requirements and/or to transact those assets.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A LEAD GENERATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to identify leads for users based on user-entered information, user contacts, and/or the properties associated with a user and/or in which a user is interested. Leveraging connectivity between contract relationship management functionality, property listing service features, intelligent inbox coordination capabilities, and/or the like, the HUB may identify connections between user requirements and/or assets and opportunities to fulfill those requirements and/or to transact those assets.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A LEAD GENERATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to identify leads for users based on user-entered information, user contacts, and/or the properties associated with a user and/or in which a user is interested. Leveraging connectivity between contract relationship management functionality, property listing service features, intelligent inbox coordination capabilities, and/or the like, the HUB may identify connections between user requirements and/or assets and opportunities to fulfill those requirements and/or to transact those assets.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A LEAD GENERATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to identify leads for users based on user-entered information, user contacts, and/or the properties associated with a user and/or in which a user is interested. Leveraging connectivity between contract relationship management functionality, property listing service features, intelligent inbox coordination capabilities, and/or the like, the HUB may identify connections between user requirements and/or assets and opportunities to fulfill those requirements and/or to transact those assets.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A LEAD GENERATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to identify leads for users based on user-entered information, user contacts, and/or the properties associated with a user and/or in which a user is interested. Leveraging connectivity between contract relationship management functionality, property listing service features, intelligent inbox coordination capabilities, and/or the like, the HUB may identify connections between user requirements and/or assets and opportunities to fulfill those requirements and/or to transact those assets.

Abstract: The MACHINE LEARNING DATA ANNOTATION APPARATUSES, METHODS AND SYSTEMS (“MLDA”)discloses a processor-implemented confidence structured output document creation method which comprises, in one embodiment, receiving a unknown inconsistent structured document and receiving an confidence information extraction feature. The MLDA may parse the unknown inconsistent structured document to retrieve data field tags and data field values and process the data field tags and the data field values with the confidence information extraction feature. The MLDA may extract processed data field tags and data field values, and provide processed data field tags and data field values to a confidence structured output document learning engine.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR AN ACTIVITY TRACKING AND PROPERTY TRANSACTION FACILITATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In one implementation, the HUB dynamically generates an interface based on a user role, allows quick and efficient viewing of information relevant to an actual or potential property transaction, and records user activities or interactions to allow future access to a given interface state or set of relationships defined by interface element values, such as they may pertain to the given property transaction, an associated counterparty or contact, and/or the like. In one implementation, the HUB may provide a bifurcated display to allow for side-by-side visualization of required and available property information, attributes, and/or the like.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR AN INTELLIGENT INBOX COORDINATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to effectuate intelligent inbox coordination, which may facilitate the processing of messages configured as email messages, XML data, HTTP POST message content, and/or the like for economical display and interaction. The HUB's intelligent inbox coordination features may allow for the distillation of large volumes of message data and/or content to highlight and/or direct users to the particular message and/or attachment containing data that is most interesting or relevant to them.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A LEAD GENERATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to identify leads for users based on user-entered information, user contacts, and/or the properties associated with a user and/or in which a user is interested. Leveraging connectivity between contract relationship management functionality, property listing service features, intelligent inbox coordination capabilities, and/or the like, the HUB may identify connections between user requirements and/or assets and opportunities to fulfill those requirements and/or to transact those assets.

Abstract: The APPARATUS, METHODS AND SYSTEMS FOR A LEAD EXCHANGE FACILITATING HUB (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In embodiments, the HUB may be configured to transaction and/or exchange of lead information, such as contact information, real estate site drives, market comparables, marketing ideas, and/or the like. The HUB may engender a tailored and efficient forum for coordinating transactions of lead information based on a centralized database of contacts and other lead information associated with and/or belonging to users. In one embodiment, users may submit lead requests comprising parameters and/or criteria based on which one or more queries may be performed on that database. Other users having leads matching the request may then be notified and may decide whether to share their lead information with the requesting user.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR AN ACTIVITY TRACKING AND PROPERTY TRANSACTION FACILITATING HUB USER INTERFACE (“HUB”) facilitates the generation, evaluation, and recording of information and activities related to property transactions and associated communications. In one implementation, the HUB may allow for highly customizable mapping of spatiotemporal information in an integrated customer relationship management and real estate listing system; optimized scheduling of activities and/or appointments; efficient access to and economical display of contact information; dynamic sorting and filtering of searchable data; and/or the like.