Abstract: A system and method for computerized method for generating a probability score indicative of a probability that an owner will sell a real estate property, comprising: collecting from data sources a set of data associated with a plurality of owners and a plurality of commercial real estate properties (CREs) related thereto, based on a data item indicating a type of a desirable CRE; analyzing the collected set of data using a machine learning technique executed by a computer; determining, based on the analysis, a desirable CRE, and an owner associated with the desirable CRE; determining a probability that the owner will sell the desirable CRE with a certainty level above a predetermined threshold within a predefined time period; and generating, based on the analysis, a probability score that is indicative of the probability that the owner is likely to sell the desirable CRE within the predefined time period.

Abstract: A system and method for generating value prediction of commercial real-estate properties (CREs), comprising: receiving a location pointer associated with at least one CRE, where a location pointer is an identifying parameter associated with the CRE; extracting metadata associated with the at least one CRE; analyzing the metadata of the CRE and of comparable properties (comparables), where the analysis includes matching real estate factors of the CRE and the comparables; and generating at least one value prediction of the CRE based on the analysis.

Abstract: A method and system analyzing transactional data are provided. The method includes gathering transaction data related to a first physical entity; extracting a first set of features representing the first entity; gathering transaction data related to a second physical entity, wherein the at least one second physical entity is indirectly related to the first physical entity; extracting at least a second set of features associated with the at least one second physical entity; matching the first set of features to the second set features; and clustering the first set of features and the second set of features, when the first set of features matches the second set of features.

Abstract: A method and mobile computing device for auto-playing a video clip within a web environment of a mobile computing device are provided. The method comprises including an auto-play script in a webpage downloaded to the web environment, wherein the web environment is disabled to auto-play video clips; and executing the auto-play script within the web environment, wherein the execution of the auto-play script causes at least: receiving the video clip from an external source and automatically playing the video clip in the web environment.

Abstract: A method and mobile computing device for auto-playing a video clip within a web environment of a mobile computing device are provided. The method comprises including an auto-play script in a webpage downloaded to the web environment, wherein the web environment is disabled to auto-play video clips; and executing the auto-play script within the web environment, wherein the execution of the auto-play script causes at least: receiving the video clip from an external source and automatically playing the video clip in the web environment.

Abstract: A system and method for generating abandonment profiles for web-based video content. The method comprises: monitoring user interactions with a video content item; generating at least one abandonment metric based on the monitored user interactions, wherein each abandonment metric represents a feature associated with abandonment of the video content item; and generating an abandonment profile including the at least one abandonment metric.

Abstract: A system and method for optimizing content delivery via native applications. The method comprises: intercepting a request for a content item existing in a web source over a network, wherein the request is intercepted from a user device; analyzing the intercepted request to extract a pointer to the web source; analyzing the web source to identify at least one content node communicatively connected to the network, wherein each of the at least one identified content node provides a more efficient delivery of the content item than the web source; causing the user device to select a content node of the at least one identified content node; and causing the user device to retrieve the content item via the selected content node.