A server includes a visit history acquiring unit configured to acquire check-in logs of each POI, a distribution result acquiring unit configured to acquire advertisement distribution logs for a plurality of users, a classification unit configured to classify the plurality of users into first users who have read advertisement information associated with the advertisement and second users who have not read the advertisement information, a visit user extracting unit configured to extract first visit users who have visited a POI among the first users and second visit users who have visited a POI among the second users for each POI, a POI extracting unit configured to extract specific POIs based on the number of visits of the first visit users and the second visit users to each POT, and a distribution target extracting unit configured to extract users who have visited a specific POI as distribution targets for the advertisement.

The present disclosure relates to systems and methods for determining parent-child relationships. The systems may obtain a first location name of a first point of interest (POI); perform a word segmentation operation on the first location to obtain a plurality of portions of the first location name; determine a first portion from the plurality of portions by comparing to a first portion name database, the first portion indicating that the first POI is a child POI; and determine a second POI based on a second portion of the first location name and that the second POI is a parent POI of the first POI.

A computer-implemented method includes: receiving, by a computing device, a text report request from a user device associated with a user; obtaining a behavior history and personal information of the user; inputting the behavior history and the personal information of the user into a model, to obtain a plurality of personalized evaluation results, each personalized evaluation result corresponding to a respective text report category of a plurality of text report categories, in which each personalized evaluation result indicates a predicted relevance of the corresponding text report category to a problem faced by the user, and in which the model includes a classification model trained using one or more supervised learning techniques on a plurality of user behavior history samples and a plurality of personal information samples; and determining an order in which the plurality of text report categories are to be presented to the user.

A computer-implemented logistics method of arranging delivering of items to recipients situated at different recipient locations, comprising: recording items received at a distribution centre, clustering the records according to location of the recipient, locating a hub position for each cluster, further clustering the, marking the items according to their cluster and delivery order, allowing transfer of the items into the compartments in the delivery order; instructing the agent to deliver the items by providing navigation instructions.

An area popularity calculation device 1 includes: an acquisition unit (10) configured to acquire area information representing areas on a map; an identifying unit (11) configured to identify one or more points of interest (POIs) included in a target area represented by the area information acquired by the acquisition unit; and a calculation unit (12) configured to calculate a popularity level of the target area on the basis of one or more POI popularity levels respectively associated with the one or more POIs identified by the identifying unit.

The disclosed technology includes system and method for discovering key places for a mobile device based on historical location data associated with the mobile device. The key places are discovered by mapping the historical location data into predefined land areas in a geographical region, aggregating the historical location data into time interval sessions, selecting a first set of the predefined areas based on density of location data in each of the predefined land areas, and filtering the first set of the predefined areas to obtain the key places. The key places are used to estimate one or more travel routes routinely taken by a user of the mobile device, and to build an association database, where one or more billboards and/or points of interests near the travel routes are associated with the mobile device or its user. Information documents for delivering to the mobile device are selected based at least on data in the association database.

Techniques for include map visualization for well data include navigating websites and aggregating well data information in a database; processing the aggregated well data information to extract a first set of well data; navigating to online websites and obtaining a second set of well data based on the extracted first set of well data; generating entries for the extracted first and second set of well data in a searchable structured database; and in response to user input, displaying, in a graphical user interface (GUI), the well data stored in the database.

The present teaching relates to method, system, and medium for profiling accounts. A plurality of identifiers are obtained, wherein each of the plurality of identifiers is associated with one of a device operated by a user and a platform on which the user consumes content in one or more media types. An account corresponding to the user is created, wherein the account represents the user across devices, platforms, and/or media types. A persistent identifier is generated for the account, wherein the persistent identifier links the plurality of identifiers. Consumption data related to the account with the persistent identifier is obtained. The consumption data is gathered from sources associated with the plurality of identifiers across different devices, platforms, or media types, and the account is profiled based on the obtained consumption data.

Systems and methods for controlled IP access using a distributed ledger are disclosed. An example system may include a controller configured to: access a distributed ledger including intellectual property (IP) data about IP assets, where the IP assets include an aggregate stack of IP; tokenize the IP data; and interpret a distributed ledger operation corresponding to one of the IP assets. The controller may also be configured to: determine an analytic result value in response to the distributed ledger operation and the tokenized IP data, where the analytic result value includes statistical information corresponding to access events for an IP asset or distribution of IP assets according to access event rates; and to provide a report of the analytic result value; and record a transaction on the distributed ledger in response to providing the report.

A service recommendation method includes: receiving event information that is sent by a service distribution platform and that is subscribed to by a user, where the event information includes an event arrival time; generating and displaying one or more first service items at a first moment, where the one or more first service items are related to at least a time interval t1 between the event arrival time and the first moment; and generating and displaying one or more second service items at a second moment, where the one or more second service items are related to at least a time interval t2 between the event arrival time and the second moment, where the first moment is before the second moment, and the one or more first service items are not completely the same as the one or more second service items.