Abstract: Disclosed are various example embodiments which may be configured to: collect a measurement time-series relating to a performance indicator of a communication network resource; compute a representative vector of said measurement time-series; provide a clustering model comprising a set of clusters, wherein the clustering model has been trained on a plurality of training time-series, wherein a cluster of the set of clusters comprises partial time-series that meet a similarity condition, wherein a cluster anomaly label is associated with said cluster; select a subset of the set of clusters, wherein the subset comprises at least one cluster for which the partial time-series within the cluster meet a distance condition with the representative vector; and associate an anomaly label with the measurement time-series, wherein the anomaly label is computed as a function of the cluster anomaly label.

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: A reasoning apparatus (101) is arranged to determine device locations for user profile elements of a distributed user profile. A user profile processor (201) receives a user profile which comprises a plurality of user profile elements. Each user profile element furthermore comprises associated metadata. The apparatus (101) also comprises a device profile receiver (203) that receives device profiles for a plurality of devices. A device location processor (205) proceeds to determine device locations for the user profile elements in response to the associated metadata and the device profiles. Specifically, a user profile element may be assigned to a specific device if the device profile for that device matches the metadata for the user profile element. The reasoning apparatus (101) may furthermore comprise a user profile element synchronizer (207) which synchronizes the user profile elements with the appropriate devices.

Abstract: A device (D) is intended for determining potential interests of users (U1-U3) that are clients of at least one network operator, each user being associated to a profile defining at least his interests. This device (D) comprises i) a tracking means (TM) arranged for analyzing the profile of at least one user (U1) to determine new real interest(s) it contains and for storing an identifier representative of a determined new real interest of this user (U1) in correspondence with a first date at which it has been considered as a new real interest into his profile, and ii) a recommendation means (RM) arranged for analyzing the first dates of a user (U1) to determine a time ordered sequence of interests preceding a determined new real interest, and for comparing this determined user interest sequence to at least one other sequence of interests of at least one other user (U2) to predict at least one potential future interest for this user (U1), to be introduced into his profile.

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: An event detection apparatus for a cellular communication system comprises a video upload processor (203) which receives video upload activity indications. Each video upload activity indication comprises an indication of a video upload from a remote station of the cellular communication system as well as a remote station location indication for the remote station from which a video clip is uploaded. An event processor (205) generates an event indication in response to the video upload activity indications meeting a criterion where the event indication comprises an event location indication generated in response to the remote station location indications. The event detection criterion may specifically be that more than a given number of video upload activity indications are indicative of video uploads within a given time interval and geographic area. The invention may allow improved event detection.