Abstract: A real property document processing system can parse real property documents such as appraisal documents to extract useful information relating to real property assets. The system can extract images, text, and other information. Using the extracted information, the system can associate extracted images with portions of text as corresponding captions. Caption association can be performed based on results of directional analyses performed on each page of the real property document. In addition, caption associate can be performed based on results of context analyses—the system can determine appropriate captions by comparing the text of caption candidates against known keywords associated with contexts determined for the images. By analyzing the images and their associated captions, the system can detect one or more real property features depicted in each of the images. The real property features can be used to assign searchable tags to the images.

Abstract: A profile of one or more users of the online auction environment is developed. The profile of each user can be based at least in part on historical auction activity of that user. An auction of the online auction environment that is in progress is monitored. A prediction is determined as to whether the auction will be successful based at least in part on the profile of the one or more users that are participating in the auction.

Abstract: The non-bidding activity of one or more bidders of an auction is detected over an online interface of the auction environment. The activity of the one or more bidders is detected while the one or more bidders are participating in the auction. The non-bidding activity is correlated to an interest metric for the auction. Information is communicated that is based on the interest metric. The information can be communicated to either a seller or a bidder of the auction.

Abstract: A recommendation system and method for recommending non-fungible assets to individuals based on a determined interest of such users for assets and their respective characteristics.

Abstract: One or more auctions of a seller are monitored. An interface is provided that includes auction event information for each of the one or more auctions of the seller. As an example, the auction event information can include a top bid, and an indication as to whether a reserve price has been met. Predictive information is determined for each of the one or more auctions of the seller. Information is displayed based on the predictive information using the interface. The displayed information can indicate a probability as to whether the auction will be successful.

Abstract: The non-bidding activity of one or more bidders of an auction is detected over an online interface of the auction environment. The activity of the one or more bidders is detected while the one or more bidders are participating in the auction. The non-bidding activity is correlated to an interest metric for the auction. Information is communicated that is based on the interest metric. The information can be communicated to either a seller or a bidder of the auction.

Abstract: A profile of one or more users of the online auction environment is developed. The profile of each user can be based at least in part on historical auction activity of that user. An auction of the online auction environment that is in progress is monitored. A prediction is determined as to whether the auction will be successful based at least in part on the profile of the one or more users that are participating in the auction.

Abstract: An auction is conducted for an online auction environment. A set of characteristics are determined for a given asset of the auction, and asset profile information is determined for the given asset based on the set of characteristics. In particular, the asset profile information can be determined from one or more prior auctions provided at the online auction environment. The asset profile information can be based on one or more corresponding assets, each of which are deemed to be comparable to the given asset based on the one or more corresponding assets each having a set of characteristics that are similar to the set of characteristics of the given asset of the auction. A prediction is made as to whether the auction of the given asset will be successful based at least in part on the asset profile information.