Koninklijke Philips Corporation N.V.

Funke Digital Tv Guide Gmbh

Nxp B.v.

S.i.s.v.el. Societa' Italiana Per Lo Sviluppo Dell'elettronica S.p.a.

Axel Springer Digital Tv Guide Gmbh

Funke Tv Guide Gmbh

Mauro Barbieri

Serverius Petrus Paulus Pronk

Jan Korst

Johannes Henricus Maria Korst

Johannes Weda

Freddy Snijder

Ramon Antoine Wiro Clout

Jan Alexis Daniel Nesvadba

Marc Andre Peters

Qi Gao

Nevenka Dimitrova

Lalitha Agnihotri

Gerhardus Engbertus Mekenkamp

Leo Jan Velthoven

Henning Maass

Pavankumar Murli Dadlani Mahtani

Xavier Louis Marie Antoine Aubert

Guido Josef Müsch

Tiblets Zeray Demewez

Marc André Peters

Alessio Stella

Folke Charlotte Noertemann

Philip Steven Newton

Vincentius Paulus Buil

Falk Uhlemann

Wilhelmus Franciscus Johannes Verhaegh

Thomas F McGee

Adolf Proidl

Sebastiaan Jacobus Antonius De Hoogh

Hong Li

Stijn De Waele

Sauvik Bhattacharya

Fabio Vignoli

Eugene Alekseyevich Ivanov

Zarko Aleksovski

Milosh Stolikj

Jurgen Jan Rusch

Enno Ehlers

Olaf Seupel

Enrique Antonio Gil Ponce

Francesco Emanuele Bonarrigo

Ramon Clout

Bart Albertus Gerardus Van Der Velden

Elsa Inger Stapel Møst

Paul Schenk

Elsa Inger Stapel Most

Igor W F Paulussen

Pavlo Serhiyovych Mulyar

Jan A D Nesvadba

Marco Emanuele Campanella

Guido Josef MüSCH

Elsa Inger Stapel MØST

In a method of locating medical equipment to be serviced, a map of a medical facility is accessed using an electronic processing device. The map includes a plurality of medical equipment each having a tag indicative of a location thereof. A user input is received which is indicative of a selection of a medical equipment of the plurality of medical equipment. A list of service actions to be performed for the selected medical equipment is displayed on a display device of the electronic processing device.

Real-time proximity-based device overview dashboard

A method () of automated identification of one or more malfunction areas of a set (S) of malfunction areas for a service case in which a medical device () is serviced includes: generating an output probability vector () of probabilities for the set of malfunction areas of the medical device by operations including applying at least one classifier () to at least one of () text descriptions of parts ordered for the service case and/or () a text description of the service case; and displaying a list () of one or more most probable malfunction areas for the service case wherein the one or more most probable malfunction areas are the one or more most malfunction areas of the set of malfunction areas having highest probability in the output probability vector.

System and method for automated or semi-automated identification of malfunction area(s) for maintenance cases

A non-transitory computer readable medium () stores instructions readable and executable by at least one electronic processor () to perform a suspect device configuration detection method (). The method includes: extracting a fleet configuration transactions database () of device configuration transactions () from device log data () and/or system configuration files () of a fleet of devices () wherein each configuration transaction includes one or more support data fields (), a parameter identifier (), and its value (); constructing a configuration outlier detector () to identify outlier configuration transactions in the fleet configuration transactions database; detecting one or more suspect configuration transactions () by applying the configuration outlier detector to configuration transactions extracted from one or more devices of interest; and generating at least one of an alarm () and a report () when the one or more suspect configuration transactions are detected.

Configuration anomaly detection in medical system configurations using frequent pattern mining

A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor () to perform a log pattern analysis method () by applying a log pattern to log data undergoing analysis comprising log events which are time stamped and which are defined by values for a set of fields. The log data undergoing analysis are stored on a server () accessible by the at least one electronic processor via an electronic network (). The log pattern analysis method includes: constructing a retrieval query to select log events that are in a time interval and that also satisfy at least one additional constraint associated with the log pattern and defined on one or more filter fields of the set of fields; downloading a sub-set of the log data undergoing analysis from the server to the at least one electronic processor via the electronic network, wherein the sub-set is selected from the log data undergoing analysis by the retrieval query; applying the log pattern to the downloaded sub-set of the log data undergoing analysis to identify log pattern hits in the log data undergoing analysis; and controlling a display screen () to display a report of the log pattern hits in the log data undergoing analysis.

Method to efficiently evaluate a log pattern

An apparatus () for navigating a hierarchical electronic questionnaire () includes at least one electronic processor () programmed to: provide () a user interface (UI) () via which: at least a portion of the hierarchical electronic questionnaire is presented on a display device () represented as a tree-based questionnaire map () with a plurality of nodes () connected by a plurality of branches (), the nodes of the plurality of nodes corresponding to questions; a user input is received, via at least one user input device (), indicative of a selection of at least one of the nodes; and the question corresponding to the selected node is displayed and a user input indicative of an answer to the question corresponding to the selected node is received via the at least one user input device; and populate () one or more nodes other than the selected node based on the selected node and/or the answer to the question corresponding to the selected node.

Two-dimensional embedding of a hierarchical menu for easy navigation

Analysis of a log pattern for use in diagnosing a medical imaging device operates on log data including log events and service calls, each associated with a subset of log events within a service call time frame of a call time of the service call. Preprocessing () generates normalized log events () by removing or replacing content of the log events and linking each normalized log event with one or more service calls. Pre-analysis () identifies a test set of normalized log events that match a log pattern () and a test set of service calls () linked with the test set of normalized log events. The test set of service calls is analyzed () to identify hit service calls () each belonging to the test set of service calls and for which the log pattern under analysis has a hit.

Method to analyze log patterns

At a service device (), a user interface () is provided via which a user submits an order request () to order a requested part (X) via the at least one user input device (). Co-replacement information () for the requested part (X) is identified using a co-replacements database (), and is displayed on the display. For example, a second part (Y) commonly co-replaced with requested part (X) may be identified and recommended for replacement with part (X); or, if two parts (X) and (Y) are ordered then the co-replacement information may be to recommend ordering only one of these parts. At a server hosting the database (), the order request is received from a service device and the co-replacement information () for the requested part is generated using the co-replacements database (), and the co-replacement information is sent to the service device.

Parts co-replacement recommendation system for field servicing of medical imaging systems

A wireless network comprises access points (APs) implementing roaming by way of handover of wireless devices between APs. Handover events over an analysis time interval are extracted from a wireless network log of the wireless network. Each handover event comprises a source AP from which a wireless device disconnects and a destination AP to which the wireless device connects. At least one handover frequency (HF) network topology graph is constructed fro the analysis time interval from the extracted handover events. The graph has nodes representing at least a subset of the APs of the extracted handover events and edges connecting pairs of nodes with each edge having a weight representing a count or frequency of handover events between the APs represented by the pair of nodes connected by the edge. A network diagnostic or visualization task is performed using the HF network topology graph.

Method to enhance system analysis

An electronic device and method for automatic generation of a sorted list of items related to a seed item comprises a relatedness determinator to compare the seed item with a plurality of further items and to determine a relatedness value for each further item with respect to the seed item. The device also has a clustering engine to cluster the further items by determining a relative relatedness between (among) the further items. Each further item is assigned to one cluster. The device also has a list generator to generate a sorted result list by sorting the further items according to both, their relatedness value and their belonging (or membership) to a cluster in that once an item is added to the sorted list, the relatedness value depending ranking of the further items in that cluster is at least momentary lowered so as to promote adding items of further clusters.

Method and apparatus for generating a sorted list of items

The present invention is related to a recommender system (), a computer-implemented recommending method, a corresponding computer readable medium and a corresponding computer program. A recommender system () is configured to send an electronic suggestion signal () to a respective user () of a user database () in dependence of a first like-degree () of a specific item, which has been determined based on items that the respective user has already recommended to his contacts. The electronic suggestion signal () suggests the respective user () to recommend the specific item to one or more of his contacts (). In this way, personal based recommendations () are stimulated.

Recommender system and method for stimulating a user to recommend an item to a contact of the user

The invention relates to an apparatus (), a video system, a method and a corresponding computer program and a computer readable medium for managing a personal channel () of a user (). The apparatus () is configured to control a search engine () with a specified search string () that the apparatus () has generated by combining a predefined search string () and a metadata piece (). Thereby, the apparatus () retrieves a non-linear content () item being similar to a specific linear content item being referenced by the metadata piece and causes a recommendation () to the user () to add the retrieved non-linear content item to his personal channel ().

Apparatus and method for managing a personal channel

The present invention relates to an operating method of operating a recommender system, a filtering apparatus () for a recommender system (), a recommender system and a corresponding computer program. An idea of the invention is to automatically learn for a user A in a social network, which recommendations of contacts of user A, who are also members of the social network, are relevant with respect to a genre into which user A is interested in. A learning algorithm is used to interpret feedback from user A in response to receiving recommendations from his/her contacts. Thereby, for each combination of a contact and a genre, a relevance-taste index can be determined. The determined relevance-taste index is subjected to a filter. Only such recommendations are provided to user A, whose associated relevance-taste indices fulfill a filtering criterion. Thereby, the amount of irrelevant recommendations submitted to user A can be significantly reduced.

Automatic determination of genre-specific relevance of recommendations in a social network

The present invention relates to an apparatus, a method and a computer program product for controlling a recommender system, wherein a user profile normally used by a recommender to predict user ratings is employed to generate a targeted query for the remote database yielding a set of results that can be scored by the recommender and provided as suggestions to the user.

Profile based content retrieval for recommender systems

The recommender system uses stored representations of relations between users. Access to an item by one or more first users in the storage system is recorded. When the recommender system detects a request for a rating of the item from a second user, the recommender system selects at least one of the first users that occurs in a stored relation with the second user. A query message that refers to the second user is then automatically transmitted to enter a rating for the item to a user address associated with the selected first users. Preferably at least one first user is selected for which it has been recorded that it has accessed the item but for which it has not yet given a rating. Preferably, the rating from the first user is passed to the second user via the recommender system, which records the rating for further use. The selection of the first user may be based on recorded data that measures correlation between ratings from the first and second user.

Automatic generation of rating requests from a recommender system

A system for generating a query includes a term unit () for extracting a term from at least one input document (), to obtain an extracted term. A category unit () is arranged for associating the extracted term with a category that is semantically related with the extracted term. A query unit () is arranged for generating a query in dependence on the extracted term and the category. The query unit () includes an additional term unit () for generating at least one additional search term based on the category, and the query unit () is arranged for including the additional search term in the query. A submit unit () is arranged for submitting the query to at least one search engine (), to obtain a plurality of found documents.

Generating a query

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Eindhoven, Netherlands

Mauro Barbieri