Abstract: Systems and methods are provided for accessing a three-dimensional (3D) image comprising a 3D mesh comprising a plurality of vertices and each vertex of the plurality of vertices having respective 3D coordinates within a space of the 3D mesh. The systems and methods further provide for generating a subset of the plurality of vertices comprising vertices that are within a specified height range and have a specified orientation. The systems and methods further provide for generating a two-dimensional (2D) grid corresponding to the 3D mesh, applying the subset of the plurality of vertices to the 2D grid, and rendering a 2D image of the space comprising an outer border corresponding to the size and shape of the 2D grid and indications of walls within the space based on the applied subset of the plurality of vertices.

Abstract: A foundation structure is made up of a screw that is vertically adjustable into a pile to a desired height, a ball joint connected to the screw, and load bearing components that can be adjusted on the ball joint in 3-dimensional space with respect to the position of the pile. The load bearing components include at least two plates that, between them, define a hollow slot into which an anchor bolt can be held in place vertically while still having allowance for lateral motion. A load bearing plate at the top of the structure can be laterally translated based on movement of the anchor bolt. The load bearing plate is removably couplable to the floor of a building. The structure allows for vertical, lateral, and angular adjustment, providing tolerance for foundation misalignments due to inconsistencies inherent to topography and/or offset between an intended and an actual point of installation.

Abstract: Methods and systems for verifying the identity and trustworthiness of a user of an online system are disclosed. In one embodiment, the method comprises receiving online and offline identity information for a user and comparing them to a user profile information provided by the user. Furthermore, the user's online activity in a third party online system and the user's offline activity are received. Based on the online activity and the offline activity a trustworthiness score may be calculated.

Abstract: A reusable modular housing system has a gridded structure comprising reusable components with dimensions corresponding to a two-unit system. The structure has floor and ceiling grids with dimensions that correspond to multiples of a first unit of measurement. The vertical beams that connect the floor and ceiling grids are spaced apart at dimensions that also correspond to multiples of the first unit of measurement. The structure has a variety of other components that can be coupled to the floor and ceiling grids and the vertical beams, and those other components have dimensions that correspond to a multiple of a second unit of measurement. Dimensions of the structure can vary, but each of the component parts can be detachably coupled into the gridded structure, so as to fit within the grid's dimensions based on respective multiples of the first unit of measurement and the second unit of measurement.

Abstract: Systems and methods are provided for generating a search query based on received user data to perform an internet search using the search query. The systems and methods further extract data from internet search results from the internet search using the search query, generate internet search income records from the extracted data, generate income records from one or more databases comprising income records, and combine the internet search income records and the generated income records from the one or more databases to form combined income record results. The systems and methods further identify candidate income records from the combined income record results, extract features from each candidate income record for generating an income prediction, and generate the income prediction using a machine learning model to predict an income, based on the extracted features from the candidate income records.

Abstract: An online booking system allows users to creates, search, and book listings of goods or services. When a user searches for listings, the listings are ranked at least in part based on a location relevance score including at least one of a city relevance subscore, a neighborhood subscore, and a distance subscore. Generally, the city relevance subscore quantifies the probability that a searching user may have actually intended to look for listings in a city other than the city specified in a search query. Generally, the neighborhood relevance subscore quantifies the popularity of specific neighborhoods within a city as a replacement or addition to the distance subscore that determines a real world distance between a listing's real world location and a location specified in a search query.

Abstract: This disclosure includes methods for predicting demand based on the price of a time-expiring inventory. An online system provides a connection between a manager of a time-expiring inventory and a plurality of clients. The online system provides a listing for the manager's time-expiring inventory to clients on the online system. The manager specifies the price of the time-expiring inventory in the listing. A demand function predicts the demand for the time-expiring inventory based on features of the listing and the time-expiring inventory. The online system determines a likelihood of receiving a request for the time-expiring inventory from a client on the online system based on the predicted demand. The online system may use the determined likelihoods to provide to the manager information about how changes in the price of the listing are likely to affect the demand for the time-expiring inventory.

Abstract: This disclosure includes methods for displaying tips to hosts in a reservation system. The reservation system collects viewing data upon receiving viewing requests from potential guests to view a listing in the reservation system. The reservation system associates the viewing data with the listing. The reservations system applies a set of conditional expressions and calculations to the viewing data of the listing to compare the listing to a peer group of similar listings for each time interval in an evaluation time range. In some embodiments, a GUI is presented to the host of the subject listing comprising a histogram of the number of views of the subject listing, an indication of the number of views of the peer group of the subject listing, and region for displaying tips to the host of the subject listing.

Abstract: This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates. The system inputs the demand estimates into a likelihood model to generate a set of request likelihoods, each request likelihood representing a likelihood that the time-expiring inventory will receive a transaction request at each of a set of test price and test times to expiration. The system further trains a regression tree model based on a set of training data comprising each of the request likelihoods from the set and the test price and test time period to expiration used to generate the demand estimate that was used to generate the request likelihood.

Abstract: A communications system provides access to services when direct Internet connectivity is not practical. The system includes a beam modem and a beam API server. The beam modem receives a web request from a client device through a short range interface, modifies the request, and transmits the modified web request to the beam API server via a cellular connection. The beam API server then extracts an endpoint address and request data from the web request and determines an external web service from the endpoint address. The server transmits the request data to the external web service and, after receiving a response to the request data, reduces the size of the response data and sends it back to the beam modem via the cellular connection. The beam modem converts the response data to client device readable form and transmits it to the client device via the short range interface.

Abstract: Methods and systems for enforcing host standards in a reservation system. In one embodiment, a reservation system provides two methods of communication between a potential guest and a host, hard communications and soft communications. The reservation system associates both types of communication with threads, each thread associated with the host and an associated reservation. The reservation system determines suspension metrics for each host based on the communications of the threads they are associated with. When the suspension metrics associated with a host satisfy one or more suspension criteria, the reservation system issues a suspension to the host.

Abstract: A method and system for deterring attacks at potential breach points between servers and an account and login server for creating and subsequent verification of accounts. Various cryptographic primitives are used to manipulate passwords to generate verifiers. The verifiers are used with external hardware security modules (HSMs) to eliminate HSMs and intermediate steps between the HSM and login servers as potential breach points.

Abstract: Methods and systems for machine learning assisted search functions for unique accommodations founded in listing booking conversion are disclosed. In one embodiment, an online booking system models the conversion propensity of listings based on statistical relationships between features of previously received accommodation reservation requests and the booking of those reservation requests by guests. In particular, the system classifies reservation requests based on several features—a reservation request either possesses a feature or does not possess a feature. The conversion propensity of a listing for a particular request feature is modeled based on the relationship between the reservation requests that possess the feature and the reservation requests that are booked by a guest.

Abstract: An online computer system including a database uses an encrypted table that allows for write protection its contents. Middleware logic operating on the system acts as an interface for access to the database, so that any business logic on the system accesses the database through simple procedural calls to the middleware rather than directly to the database itself. The middleware logic abstracts logic that helps implement write protection with the encrypted table. Data to be encrypted that has been traditionally written to other tables is migrated to the encrypted table, where the data encrypted using an authenticated encryption with additional data (AEAD) algorithm. To implement AEAD, the original table, column, and primary key indicating where the data would have otherwise been stored are together used as additional authenticated data (AAD). This tuple of information is also stored in the encrypted table.

Abstract: Methods and systems for determining the preferences of hosts offering accommodations are disclosed. In one embodiment, an online booking system models the preferences of hosts based on statistical relationships between features of previously received accommodation reservation requests and the acceptance of those reservation requests by the hosts. In particular, the system classifies reservation requests based on several features—a reservation request either possesses a feature or does not possess a feature. The preference of a host for a particular request feature is modeled based on the relationship between the reservation requests that possess the feature and the reservation requests that are accepted by the host.

Abstract: A behavior detection module receives a training database and applies a transformation to the attributes that improves the uniformity of the values associated with each attribute. The transformed training database is used to construct a random forest classifier (RFC). The RFC includes a plurality of decision trees and generates a classification label estimate for a data entry with a plurality of attributes. The classification label estimate is determined based on classification estimates from the plurality of decision trees. Each parent node of a decision tree is associated with a condition of a transformed attribute that directs the data entry to a corresponding child node depending on whether the condition is satisfied or not. The data entry is directed through the tree to one out of a set of leaf nodes, and a classification label associated with the leaf node.

Abstract: This disclosure includes systems for regression-tree-modified feature vector machine learning models for utilization prediction in time-expiring inventory. An online computing system receives a feature vector for a listing and inputs the feature vector and modified feature vectors into a demand function to generate demand estimates. The system inputs the demand estimates into a likelihood model to generate a set of request likelihoods, each request likelihood representing a likelihood that the time-expiring inventory will receive a transaction request at each of a set of test price and test times to expiration. The system further trains a regression tree model based on a set of training data comprising each of the request likelihoods from the set and the test price and test time period to expiration used to generate the demand estimate that was used to generate the request likelihood.

Abstract: A lifetime value estimation of a web-based advertisement can be generated at the time of creation of a reservable listing in response to the advertisement, even when little to no information about conversion of the reservable listing is available. In a case that there is no information about a conversion time for a listing, the estimation of the lifetime value is done by calculating a real conversion rate from an advertising platform-dependent historical conversion rate, an average percentage of converted listings that converted from unreserved to reserved within a set period of days, and a scaling multiplier. Where there are relatively few conversions, the estimation of a lifetime value for the advertisement can be done using a weighted average of a campaign-level global conversion rate, which encompasses a large number of keywords that have seen conversions, and a keyword-level local conversion rate.

Abstract: Methods and systems for updating a calendar entry for an accommodation listing are disclosed. In one embodiment, the method comprises generating an availability model and an acceptance model for an accommodation listing in an accommodation reservation system and determining based on those models the probability that the accommodation listing would be able to be booked. Furthermore, the result of an accommodation search query can be filtered and/or sorted using the determined probability of booking.