Abstract: In one embodiment, the method includes determining one or more nodes associated with a treatment of a query; generating one or more stimuli associated with the treatment of the query wherein the or each stimulus are likely to perturb one or more resources within a system; measuring data at the or each node relating to the resources to determine the effect of the or each stimuli at the or each node; identifying one or more pairs of nodes which have a correlation in the measured data; transforming the correlation into a causal relationships where the cause is a measuring device measuring the response and the consequences are the other correlated measuring devices; generating a list of causal relationships; and combining different causal relationships into a causal model so that a chain of causal propagations can be built.

Abstract: An apparatus (5) manages resources of a resource-controlled system (1), e.g. data processing resources in a data processing system. The resource-controlled system (1) has resource-elasticity, namely it may operate in several states involving different amounts of system resources. The resource management apparatus (5) may select a modification action having at least one resource variation parameter. The resource variation parameter represents a resource quantity to be added or removed in the resource-controlled system (1). The apparatus (5) may update a value function of an adaptive learning agent (7) as a function of performance metrics (4) measured after the resources of the resource-controlled system have been modified by effecting the modification action. Responsive to a safety criterion not being fulfilled, a finer resource variation parameter may be substituted.

Abstract: An apparatus (5) manages resources of a resource-controlled system (1), e.g. data processing resources in a data processing system. The resource-controlled system (1) has resource-elasticity, namely it may operate in several states involving different amounts of system resources. The resource management apparatus (5) may select a modification action having at least one resource variation parameter. The resource variation parameter represents a resource quantity to be added or removed in the resource-controlled system (1). The apparatus (5) may update a value function of an adaptive learning agent (7) as a function of performance metrics (4) measured after the resources of the resource-controlled system have been modified by effecting the modification action. Responsive to a safety criterion not being fulfilled, a finer resource variation parameter may be substituted.

Abstract: To control the processing of a multimedia object (OM) by a software application (AppL) implemented within a communication device (DC), a control application (AC) implemented in the communication device intercepts a call from the software application to an execution environment (EE) to carry out a basic operation on the multimedia object, the multimedia object being divided into segments each associated with control data (DonC) comprising at least some data from among semantic data (DonSm), sensitivity data (DonSb), and functionality data (DonF), associates transformation parameters (ParT) comprising at least one functionality parameter (ParF) and at least one semantic parameter (ParSm) and one sensitivity parameter (ParSb) with the call, depending upon the context in which the call is executed.

Abstract: To optimize road traffic within an application server (SA) providing itineraries recommended to users connected to said application server from communication terminals (TC), each recommended itinerary being provided to a user based on a profile of the user containing the departure date or arrival date, the departure location and the arrival location, the application server compares the itineraries recommended to users whose indicated departure date belongs to a given interval time, produces a set of users whose corresponding recommended itineraries have at least one itinerary segment of given length in common, and modifies an itinerary recommended to at least one user who belongs to said set of users.

Abstract: To optimize road traffic within an application server (SA) providing itineraries recommended to users connected to said application server from communication terminals (TC), each recommended itinerary being provided to a user based on a profile of the user containing the departure date or arrival date, the departure location and the arrival location, the application server compares the itineraries recommended to users whose indicated departure date belongs to a given interval time, produces a set of users whose corresponding recommended itineraries have at least one itinerary segment of given length in common, and modifies an itinerary recommended to at least one user who belongs to said set of users.

Abstract: In one embodiment, the method includes determining one or more nodes associated with a treatment of a query; generating one or more stimuli associated with the treatment of the query wherein the or each stimulus are likely to perturb one or more resources within a system; measuring data at the or each node relating to the resources to determine the effect of the or each stimuli at the or each node; identifying one or more pairs of nodes which have a correlation in the measured data; transforming the correlation into a causal relationships where the cause is a measuring device measuring the response and the consequences are the other correlated measuring devices; generating a list of causal relationships; and combining different causal relationships into a causal model so that a chain of causal propagations can be built

Abstract: To optimize road traffic within an application server (SA) providing itineraries recommended to users connected to said application server from communication terminals (TC), each recommended itinerary being provided to a user based on a profile of the user containing the departure date or arrival date, the departure location and the arrival location, the application server compares the itineraries recommended to users whose indicated departure date belongs to a given interval time, produces a set of users whose corresponding recommended itineraries have at least one itinerary segment of given length in common, and modifies an itinerary recommended to at least one user who belongs to said set of users.

Abstract: Method(s) and system(s) for providing privacy to personal information of end users while utilizing recommendation services and personalized content are described. According to the present subject matter, the system(s) implement the described method(s) for providing privacy to personal information of end users. The method for privacy protection includes receiving user consumption data associated with one or more end users where the user consumption data comprises at least a slice of interest profile and associated interest group id of the slice of interest profile; and where the user consumption data is received through a network anonymization layer. The method may further include routing the user consumption data to an interest group aggregator node from amongst a plurality of intermediary nodes based on distributed hash table routing mechanism, and wherein the interest group aggregator node is associated with the interest group id present in the user consumption data.

Abstract: According to an implementation of the present subject matter, apparatus and methods for privacy protected clustering of user interest profiles are described. The method includes generating at least one interest profile segment based on an interest profile of an end user (404). Further, semantic terms corresponding to the at least one interest profile segment are obtained based on interaction with a semantic metadata database coupled to a user device of the end user (406), wherein the semantic terms are obtained from amongst one or more semantic terms provided in the semantic metadata database. Each of the at least one interest profile segment are subsequently transformed into at least one semantic representation (408). Further, a cluster identifier is assigned to the at least one interest profile segment based on the at least one semantic representation, wherein the cluster identifiers are generated using locality sensitive hashing (LSH) technique (410).

Abstract: Method(s) and system(s) for providing privacy to personal information of end users while utilizing recommendation services and personalized content are described. According to the present subject matter, the system(s) implement the described method(s) for providing privacy to personal information of end users. The method for privacy protection includes receiving user consumption data associated with one or more end users where the user consumption data comprises at least a slice of interest profile and associated interest group id of the slice of interest profile; and where the user consumption data is received through a network anonymization layer. The method may further include routing the user consumption data to an interest group aggregator node from amongst a plurality of intermediary nodes based on distributed hash table routing mechanism, and wherein the interest group aggregator node is associated with the interest group id present in the user consumption data.

Abstract: According to an implementation of the present subject matter, apparatus and methods for privacy protected clustering of user interest profiles are described. The method includes generating at least one interest profile segment based on an interest profile of an end user (404). Further, semantic terms corresponding to the at least one interest profile segment are obtained based on interaction with a semantic metadata database coupled to a user device of the end user (406), wherein the semantic terms are obtained from amongst one or more semantic terms provided in the semantic metadata database. Each of the at least one interest profile segment are subsequently transformed into at least one semantic representation (408). Further, a cluster identifier is assigned to the at least one interest profile segment based on the at least one semantic representation, wherein the cluster identifiers are generated using locality sensitive hashing (LSH) technique (410).

Abstract: To optimize road traffic within an application server (SA) providing itineraries recommended to users connected to said application server from communication terminals (TC), each recommended itinerary being provided to a user based on a profile of the user containing the departure date or arrival date, the departure location and the arrival location, the application server compares the itineraries recommended to users whose indicated departure date belongs to a given interval time, produces a set of users whose corresponding recommended itineraries have at least one itinerary segment of given length in common, and modifies an itinerary recommended to at least one user who belongs to said set of users.

Abstract: In order to recommend digital content to be delivered via a telecommunications network (RT) to a communication terminal (TC), a device (DRA) receives a first list (L1) of digital content produced from a recommendation system (SR) based on a user's profile, each piece of digital content on the list being associated with an estimate of the user's degree of interest, and receives cost estimates respectively associated with the deliveries of digital content included in the first list from another device (DAC), the cost being representative of resources of the telecommunications network needed to deliver the digital content from a content source (SC) to the communication terminal.

Abstract: The present subject matter discloses a system and a method for privacy protection to protect the confidential and personal information of end users using a client device (108) to avail services recommended by a service provider (110). In one embodiment, a privacy protection system (102)for recommendation services comprises a processor (202) and a memory (204) coupled to the processor (204). The memory (204) comprises a interest group aggregator module (112) having at least one interest group aggregator, each of the at least one interest group aggregator configured to collate a plurality of segments of profile information pertaining to a plurality of end users categorized in a interest group based on a interest profile of each of the plurality of end users.

Abstract: To control the processing of a multimedia object (OM) by a software application (AppL) implemented within a communication device (DC), a control application (AC) implemented in the communication device intercepts a call from the software application to an execution environment (EE) to carry out a basic operation on the multimedia object, the multimedia object being divided into segments each associated with control data (DonC) comprising at least some data from among semantic data (DonSm), sensitivity data (DonSb), and functionality data (DonF), associates transformation parameters (ParT) comprising at least one functionality parameter (ParF) and at least one semantic parameter (ParSm) and one sensitivity parameter (ParSb) with the call, depending upon the context in which the call is executed.

Abstract: The aim of the present invention is a system (100) for selecting a message suitable for delivery to a user (111) of telecommunications services. This system (100) comprises a first database (107) including a range of statuses characteristic of said user (111), each status occupying a specific place in a series of possible statuses, and transitions between the different statuses, a second database (108) including a range of messages suitable for broadcast to said user (111) and a third database (104) incorporating a history of messages already broadcast to said user (111). The system (100) also comprises a calculator (101) comprising transition detection means (112) and means of determining the current status of said user (111) based on data provided by said third database (104), means (113) of associating said current status with a message included in said second database and means (103; 115; 114) of determining the moment to broadcast said message to said user (111).

Abstract: The invention pertains to a method for configuring rules for distributing personal data of a social network user (U) with respect to a target contact (CC). The method consists of retrieving behavioral data of the target contact. Based on this retrieved behavioral data and a sensitivities profile defined by the user, an assessment grade is assigned to the target contact with respect to the danger that he or she represents of propagating the user's personal data. Based on the grade assigned to the target contact, a recommendation to configure the rules for distributing his or her personal data is issued to the user.

Abstract: Method for colour selection assistance for the preparation of visual aids, taking into account at least one profile influencing the selection of colours, one lesson about a colour, one colour combination rule, and one piece of information about the structure of the visual aid.

Abstract: Computer program product comprising instructions to carry out profiling of a telecommunications services user in a multi-platform environment (1), such product being characterised in that it comprises: a functional explicit profiling block (7) that gathers information on the user's preferences, directly from the said user; a functional implicit profiling block (8) for the user, gathering raw data concerning the user's behaviour for each service delivery platform, such functional implicit profiling block (8) comprising aggregation means for such raw data; the profile thus shaped comprising core attributes independent from the service platform and specialised attributes depending on the platforms that are present in the environment.