Aspects of the present disclosure are directed to determining user engagement index and tracking user impressions. According to an aspect, OTT content is provided to a user and the OTT content prompts interactions from the user. Such interactions of the user with the OTT content are tracked. The user engagement index is determined based on the tracked interactions. According to another aspect, one or more impressions are received from a second set of users, where the one or more impressions include one or more content items. The corresponding geographical locations of the second set of users are identified. It is determined that the one or more impressions correspond to one or more products or services provided by a first set of users. The one or more received impressions are tagged to the corresponding products or services, and the corresponding geographical locations of the second set of users.

A method for partitioning a geographic area, including: partitioning the geographic area into geographic units; for each respective geographic unit: determining, a central location of the respective geographic unit; determining, an aggregate demand location of the respective geographic unit based on pick-up locations in the respective geographic unit in a time period; determining, an aggregate supply location of the respective geographic unit based on provider locations when responding to requests having pick-up locations in the respective geographic unit in said time period; for each respective pair of geographic units, determining, among a plurality of the geographic units, a connection strength between the respective pair based on distance metrics between the respective pair, where the distance metrics are determined based on the central locations, the aggregate supply locations, and the aggregate demand locations of the respective pair in said time period; and assigning each respective geographic unit to a respective one of one or more aggregate geographic units based on the determined connection strengths.

Methods and systems for detecting when users deviate from a provided transportation route and for correcting the transportation route in response to such user deviations is presented. In one embodiment, a method is provided including detecting a changed condition for a transportation route between a first location and a second location. The transportation route may include multiple transportation segments. A first transportation segment designating a first modality may be identified, wherein the changed condition decreases a likelihood that vehicles associated with the first modality will be available to service the first transportation segment. In response, a second transportation segment designating a second modality different from the first modality is generated. The first transportation segment is then replaced with the second transportation segment in the transportation route.

A method and system for identifying recurrent stops of a vehicle fleet having a plurality of vehicles. The method comprises retrieving historical GPS tracks of the vehicle fleet over a period of time; detecting stops made by the vehicle fleet along travelled routes that are associated with the historical GPS tracks; constructing a coverage area that covers the travelled routes; discretizing the coverage area into a plurality of cells; determining whether a cell is a recurrent stop based on a fleet stay period associated with that cell; and classifying a determined recurrent stop into a plurality of categories.

Systems, methods and computer-readable storage media utilized to prepare datasets for geo experiments. One method includes receiving one or more input parameters. The method further includes extracting, from the data, training data. The method further includes calculating a difference in input data and a difference in response data of the training data. The method further includes determining a first plurality of geographic pairs. The method further includes extracting, from the data, evaluation data. The method further includes separating each geographic pair of the first plurality of geographic pairs into a treatment region or a control region for a plurality of simulations of a plurality of different simulation subsets for each of a plurality of different subsets of geographic pairs. The method further includes calculating a plurality of uncertainty estimates. The method further includes selecting a first subset of geographic pairs and providing the selected subset of geographic pairs.

A method is disclosed. A data set including: (a) identifiers of a set of incidents occurring within a defined geographic region to which at least one service provider responded during a first time period and (b) address data identifying a location within the geographic region of each said incident of the set is retrieved over a network. An instruction to generate a heat map of the incidents occurring within the geographic region during the first time period is received from a user via a user interface generated to a display device. In response to the instruction to generate the heat map, the address data is converted to GPS data. A heat map of an aerial view of the geographic region based on the GPS data is generated. The heat map is displayed to the display device in a user interface.

A method of displaying a symbol representative of changes in price during a time period, the method includes receiving, for each intra-time period of a plurality of intra-time periods in the time period, intra-time price data including an intra-time open price, an intra-time close price, and an intra-time volume corresponding to the intra-time period, determining, from the received intra-time price data, an open price, which is an intra-time open price of an initial intra-time period and a close price, which is an intra-time close price of a last intra-time period, determining, from the intra-time volume of each of the plurality of intra-time periods, a highest intra-time volume occurring within a first intra-time period and a lowest intra-time volume occurring within a second intra-time period, generating a volume normalization value for the intra-time volume of each of the plurality of intra-time periods using the lowest intra-time volume and the highest intra-time volume, generating, by a charting engine, a candle body from the open price and the close price, wherein a height of the candle body indicates a difference between the open price and the close price, and a width of the candle body indicates a difference between a start time of the time period and an end time of the time period, generating, by a charting engine, in accordance with a selected intra-time volume rendering method, a body fill area from each of the generated volume normalization values of each of the plurality of intra-time periods, and displaying, by the charting engine, the symbol, which includes the candle body and the body fill area within the candle body.

Computer-implemented methods and systems are provided that monitor brand performance in a holistic manner summarize in a single score for a set of competitive brand names over time and in different geographical through different mass media and digital media channels (e.g., paid, earned, and owned media channels). In embodiments, the methods and systems take into account i) different influence factors that pertain to a brand's influence on consumer behavior in the different media channels over time and in different geographical territories as well as ii) the expenditures (spending) made by the brand owner or agent with respect to advertisements and marketing materials or promotional material that use the brand in the different media channels over time and/or in the different geographical territories. Other systems and methods for monitoring and evaluating brand performance are disclosed and claimed.

A method and system including identifying, via at least one processor, a user role; configuring, via the at least one processor, an interface for the user role, wherein configuring the interface includes determining an interface view for the user role; and displaying, via the at least one processor, the interface with the interface view.

Described are systems and methods that utilize ad campaign acquisition information and user profile data to probabilistically determine which users were acquired through which ad campaign. For example, a user probabilistic attribution score may be determined for each ad campaign for each user, and a user lifetime value may be allocated to different ad campaigns based at least in part on the determined probabilistic attribution scores.