Abstract: Techniques are described for performing automated operations related to determining and using information about one or more user-specific predicted attributes of dwellings that users will occupy in the future. The described techniques may include generating one or more predictive models trained to provide information about one or more target dwelling attributes of interest, such as to analyze training data about interactions of one or more types by a plurality of users with a plurality of dwellings before those users select a final dwelling to acquire and/or occupy, and to generate and train the predictive model(s) based on the training data to predict a value of each of the one or more target dwelling attributes for a target dwelling that a user will later acquire and/or occupy, and may further include using predicted target dwelling attribute values to provide dwelling-related information to one or more other users.

Abstract: Techniques are described for performing automated operations related to determining and providing information about dwellings within geographical regions specific to indicated locations, such as within an indeterminate distance from an indicated point-of-interest (POI) location by determining and using individualized geographical search regions specific to each POI location. In some situations, for each of a plurality of POI locations, a geographical region specific to that POI location is predetermined in an individualized manner for that POI location using attribute(s) of that POI location, to represent a geographical region for that POI location considered to be nearby that POI location, and then using such predefined POI-specific nearby geographical regions when responding to a later received search query that specifies multiple search criteria using a sequence of multiple free-form natural language terms that indicate such a POI location, such as in combination with other search criteria.

Abstract: Techniques are described for performing automated operations related to determining and providing information about dwellings within geographical regions specific to indicated locations, such as within an indeterminate distance from an indicated point-of-interest (POI) location by determining and using individualized geographical search regions specific to each POI location. In some situations, for each of a plurality of POI locations, a geographical region specific to that POI location is predetermined in an individualized manner for that POI location using attribute(s) of that POI location, to represent a geographical region for that POI location considered to be nearby that POI location, and then using such predefined POI-specific nearby geographical regions when responding to a later received search query that specifies multiple search criteria using a sequence of multiple free-form natural language terms that indicate such a POI location, such as in combination with other search criteria.

Abstract: Techniques are described for performing automated operations related to determining and providing information about dwellings within geographical regions specific to indicated locations, such as within an indeterminate distance from an indicated point-of-interest (POI) location by determining and using individualized geographical search regions specific to each POI location. In some situations, for each of a plurality of POI locations, a geographical region specific to that POI location is predetermined in an individualized manner for that POI location using attribute(s) of that POI location, to represent a geographical region for that POI location considered to be nearby that POI location, and then using such predefined POI-specific nearby geographical regions when responding to a later received search query that specifies multiple search criteria using a sequence of multiple free-form natural language terms that indicate such a POI location, such as in combination with other search criteria.