Abstract: A hierarchical decoupling, integrated and open communication open system includes a large communication network, a Yunxi platform, and a customer, which are communicatively connected to one another, wherein the Yunxi platform includes a service application layer, a communication capability layer and a resource pool, which are communicatively connected to one another, the large communication network, the communication capability layer and the customer are communicatively connected to one another, and the service application layer is communicatively connected to the customer. The present invention innovates decentralized communication service provision methods, further integrate communication capabilities, encapsulate communication scenarios into flexible and easy-to-use communication modules, and provide a unified and convenient service interface, thereby lowering a user-side access threshold, and deeply integrating communication capabilities with application scenarios of government and enterprise customers.

Abstract: A server configured to determine a fee surge for an on-demand service may include processor(s) that may perform the following upon receiving each request for the service: determine, from the request, a location where the service is required; determine, using a map from the memory, a supply area around the location; determine the surge based on the supply area; compare the surge with a surge lower bound for the supply area and set it as this bound if it is lower than this bound; communicate the surge to the respective requestor computing device and a provider computing device; and allocate the associated service provider to fulfil the request if both the service requestor and service provider accept the surge. The surge lower bound may be based on historical allocation rates, each representing a number of fulfilled requests at a fee surge during historical time interval(s) in a characteristically similar area.

Abstract: A server configured to determine an advanced booking fee for an advance booking is disclosed. The server may include one or more processor(s) and a memory having instructions stored therein. The instructions when executed by the one or more processor(s), may cause the one or more processor(s) to receive an advanced booking enquiry over a communication network from a user device for a predetermined transportation service at a predetermined future time from a service provider. The one or more processor(s) may determine a call option price based on a difference between a predetermined fare price of the advance booking and a potential future trip price. The one or more processor(s) may determine an earning adjustment for the service provider to provide the predetermined transportation service at the predetermined future time.

Abstract: Aspects concern service pricing device, comprising a receiving unit configured to receive service orders over a communication network from a plurality of customers requesting a service from a service provider in a predetermined area and in a time period; an allocation unit configured to determine a current allocation rate of received service orders among a plurality of service contractors and to allocate received service orders to the plurality of service contractors; and a pricing unit configured for determining a current price for a service order received in the time period for the predetermined area based on the current allocation rate of service orders and a predetermined allocation rate of service orders for the plurality of service contractors, and a notification unit configured to provide the current price of the service over the communication network to the plurality of customers and to the plurality of service contractors such that a service order for the predetermine area and in the time period is f

Abstract: An aspect of the disclosure relates to a fare prediction data system and a method of predicting fare for transportation services, the method including: receiving, at a server, from a digital device, a request including a service time; calculating a predicted fare at the server; and sending the predicted fare from the server to the digital device. Calculating the predicted fare uses the service time, a long term surge prediction and a short term surge prediction as input in a fare estimator. The long term surge prediction may be calculated using a long term surge predictor (LTSP) and the short term surge prediction may be calculated using a short term surge predictor (STSP). The LTSP uses historical data, and the STSP uses the historical data and recent data which may be more recent than the historical data. Other aspects related to surge prediction systems, methods, and computer products including instructions for carrying out the any of the methods.

Abstract: 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

Abstract: A system for retargeting customers is based on a mobile device query initiated by a user, and includes a query module configured to receive a query with geographical information from the mobile device and determine geographical identifiers of the mobile device. An indexed database stores an aggregated plurality of customers having a geographical identifier proximate to the determined geographical area, and a processor selects an advertiser located proximate to the determined geographical area. A performance feedback module is configured to assign an effectiveness rating to one or more advertisements provided by the selected advertiser based on marketing attributes of the aggregated plurality of customers.

Abstract: A system is provided for retargeting advertisements and is based on a database storing user behavior data related to information for a plurality of consumers. An index-lookup processes the user behavior data and translates the user behavior data into a plurality of indices. A data loading module processes the plurality of indices and generates a multi-indexed user behavior cube. An online query module receives a request for an advertisement and processes the request to determine one or more related user attributes and retrieves user behavior data from the multi-indexed user behavior cube using the related user attributes. An ad recommendation module receives the set of user behaviors and generates a list of recommended advertisements using the set of user behaviors data and an advertiser retargeting criterion.

Abstract: A system may provide for mobile application based online advertising via mobile application interface. A database may be configured to store data corresponding to a plurality of visual elements for rending an advertisement. An advertising server may be in operative communication with the database and configured to receive requests for advertisement campaigns. A mobile interface may allow submission of information relating to an advertisement campaign to the advertising server. A generator engine may be configured to select from the plurality of visual elements and generate display logic for displaying an advertisement corresponding to the advertisement campaign.

Abstract: A system for retargeting customers is based on a mobile device query initiated by a user, and includes a query module configured to receive a query with geographical information from the mobile device and determine geographical identifiers of the mobile device. An indexed database stores an aggregated plurality of customers having a geographical identifier proximate to the determined geographical area, and a processor selects an advertiser located proximate to the determined geographical area. A performance feedback module is configured to assign an effectiveness rating to one or more advertisements provided by the selected advertiser based on marketing attributes of the aggregated plurality of customers.

Abstract: A system is provided for retargeting advertisements and is based on a database storing user behavior data related to information for a plurality of consumers. An index-lookup processes the user behavior data and translates the user behavior data into a plurality of indices. A data loading module processes the plurality of indices and generates a multi-indexed user behavior cube. An online query module receives a request for an advertisement and processes the request to determine one or more related user attributes and retrieves user behavior data from the multi-indexed user behavior cube using the related user attributes. An ad recommendation module receives the set of user behaviors and generates a list of recommended advertisements using the set of user behaviors data and an advertiser retargeting criterion.

Abstract: A system for retargeting customers is based on a mobile device query initiated by a user, and includes a query module configured to receive a query with geographical information from the mobile device and determine geographical identifiers of the mobile device. An indexed database stores an aggregated plurality of customers having a geographical identifier proximate to the determined geographical area, and a processor selects an advertiser located proximate to the determined geographical area. A performance feedback module is configured to assign an effectiveness rating to one or more advertisements provided by the selected advertiser based on marketing attributes of the aggregated plurality of customers.

Abstract: A system for retargeting customers is based on a mobile device query initiated by a user, and includes a query module configured to receive a query with geographical information from the mobile device and determine geographical identifiers of the mobile device. An indexed database stores an aggregated plurality of customers having a geographical identifier proximate to the determined geographical area, and a processor selects an advertiser located proximate to the determined geographical area. A performance feedback module is configured to assign an effectiveness rating to one or more advertisements provided by the selected advertiser based on marketing attributes of the aggregated plurality of customers.

Abstract: The present disclosure discloses a method and an apparatus of preloading a browser game on a client. The method includes: acquiring a browser game preloading instruction pushed by a server, and parsing the preloading instruction to obtain an Internet Protocol (IP) address of the browser game; acquiring a background loading component corresponding to the preloading instruction, where the background loading component is configured to load the browser game on the client; and loading the browser game according to the background loading component and the IP address. In embodiments, a browser game is preloaded before a user enters the browser game, so that the user quickly enters the browser game, thereby improving resource utilization of a browser game server.

Abstract: A system for retargeting customers is based on a mobile device query initiated by a user, and includes a query module configured to receive a query with geographical information from the mobile device and determine geographical identifiers of the mobile device. An indexed database stores an aggregated plurality of customers having a geographical identifier proximate to the determined geographical area, and a processor selects an advertiser located proximate to the determined geographical area. A performance feedback module is configured to assign an effectiveness rating to one or more advertisements provided by the selected advertiser based on marketing attributes of the aggregated plurality of customers.

Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.

Abstract: Embodiments of the invention present an approach to conversion rate estimation which relies on using past performance observations along user, publisher, and advertiser data hierarchies. More specifically, embodiments of the invention model the conversion event at different select hierarchical levels with separate binomial distributions and estimate the distribution parameters individually. It is shown how to combine these individual estimators using logistic regression to identify conversion events accurately. Embodiments of the invention can also handle many practical issues, such as data imbalance, missing data, and output probability calibration, which render this estimation problem more difficult for a real-world implementation of the approach.

Abstract: For each of various sites, a mathematical representation is computed according to prescribed characteristics of users that have conducted one or more predetermined types of interaction with the site. Cluster of the sites are identified whose computed representations are similar according to prescribed criteria. Responsive to notification of an opportunity to deliver unidentified advertising to a given user via a given site, at least one ad is selected based upon factors including the ad having a prescribed performance history at one or more clusters containing the given site. The selected ad is transmitted to the given user at the given site, or a bid is transmitted for such placement of the ad.

Abstract: The present disclosure discloses a method and an apparatus of preloading a browser game on a client. The method includes: acquiring a browser game preloading instruction pushed by a server, and parsing the preloading instruction to obtain an Internet Protocol (IP) address of the browser game; acquiring a background loading component corresponding to the preloading instruction, where the background loading component is configured to load the browser game on the client; and loading the browser game according to the background loading component and the IP address. In embodiments, a browser game is preloaded before a user enters the browser game, so that the user quickly enters the browser game, thereby improving resource utilization of a browser game server.

Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.