Abstract: Systems and methods are used to detect underlying themes from a collection of documents at an aggregated level. A representative set of documents may be selected from a cluster of documents, with the representative set of documents corresponding to a general theme of the cluster. Candidate theme phrases may then be extracted from the documents and used to generate document embeddings and candidate phrase embeddings, which may be ranked, such as with a diversity-based ranking approach. Certain candidates may be selected from the ranking. Each of the documents forming the representative set may then be concatenated and a query embedding may be generated and ranked against the candidate phrases. In this manner, a collection of phrases associated with both the general underlying theme of the cluster, along with granular topics associated with that theme, may be identified.

Abstract: Clusters of users of networked services are defined based on tasks performed by such users during such networked services. Activities of the users during sessions of the networked services are tracked, and representations of such users or such activities are used to train a model to predict activities of users in the future, including but not limited to services utilized by such users, or pages visited by such users. Subsequently, when a user accesses a networked service during a session, activities of the user may be determined, and a representation of the session is provided as an input to the model, along with contextual information such as an identifier of the persona of the user. A next action, e.g., a service or a page utilized by the user, may be predicted based on outputs received from the model.

Abstract: The present disclosure generally relates to a feedback processing service that can receive customer input, as customer feedback corresponds to a service context. The feedback processing service aggregates semantically similar feedback as a cluster. Then, the feedback processing service can prioritize each of the clusters by ranking each of the clusters.

Abstract: A therapy system (20) determines an aperture shape (102, 152) based on a diameter (106, 156) of a milling bit. The system (20) includes at least one processor (68, 70) programmed to receive an aperture shape (102, 152) of a treatment plan for a patient and a diameter (106, 156) of a milling bit. The aperture shape (102, 152) is regularized with respect to the diameter (106, 156) of the milling bit by at least one of over segmenting (150) a first portion of the aperture shape (102, 152) based on the diameter (106, 156) of the milling bit and under segmenting (100) a second portion of the aperture shape (102, 152) based on the diameter (106, 156) of the milling bit.

Abstract: In one embodiment, a method for efficiently paging home nodes comprises receiving location information from a home node which indicates that a mobile device is attached to the home node, storing the location information in one or more data structures, wherein the location information includes an identity of the mobile device and an identity of the home node, mapping in the one or more data structures the identity of the mobile device to the identity of the home node, receiving a paging request message which contains the identity of a desired mobile device, identifying one or more associated home nodes through the mapping with the identity of the desired mobile device, and forwarding the paging request message to the one or more associated home nodes.

Abstract: In one embodiment, a method for efficiently paging home nodes comprises receiving location information from a home node which indicates that a mobile device is attached to the home node, storing the location information in one or more data structures, wherein the location information includes an identity of the mobile device and an identity of the home node, mapping in the one or more data structures the identity of the mobile device to the identity of the home node, receiving a paging request message which contains the identity of a desired mobile device, identifying one or more associated home nodes through the mapping with the identity of the desired mobile device, and forwarding the paging request message to the one or more associated home nodes.