Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

Map-matching is the process of aligning a sequence of observed user positions with the road network on a digital map. It is a fundamental pre-processing step for many applications, such as moving object management, traffic flow analysis, and driving directions. In practice there exists huge amount of low-sampling-rate (e.g., one point every 2--5 minutes) GPS trajectories. Unfortunately, most current map-matching approaches only deal with high-sampling-rate (typically one point every 10--30s) GPS data, and become less effective for low-sampling-rate points as the uncertainty in data increases. In this paper, we propose a novel global map-matching algorithm called ST-Matching for low-sampling-rate GPS trajectories. ST-Matching considers (1) the spatial geometric and topological structures of the road network and (2) the temporal/speed constraints of the trajectories. Based on spatio-temporal analysis, a candidate graph is constructed from which the best matching path sequence is identified. We compare ST-Matching with the incremental algorithm and Average-Frechet-Distance (AFD) based global map-matching algorithm. The experiments are performed both on synthetic and real dataset. The results show that our ST-matching algorithm significantly outperform incremental algorithm in terms of matching accuracy for low-sampling trajectories. Meanwhile, when compared with AFD-based global algorithm, ST-Matching also improves accuracy as well as running time.

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Map-matching for low-sampling-rate GPS trajectories

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.

Smartphone-based methods and systems

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Using context information to facilitate processing of commands in a virtual assistant

Methods and apparatus are described by which one or more input words may be predicted based on partial input from a user using a predictive model that employs contextual metadata which characterizes the user in a multi-dimensional space in which the dimensions are defined by one or more of a spatial aspect, a temporal aspect, a social aspect, or a topical aspect.

Techniques for input recogniton and completion

Methods, apparatuses and systems directed to creating contextually-targeted advertisements. In a particular implementation, advertisers may leverage a W4 COMN to deliver contextually-targeted and/or contextually-enhanced advertisements. In the implementations discussed below, an ad creation system utilizes data made available by the W4 COMN to facilitate the creation and placement of advertisements on a message delivery network, such as the W4 COMN itself.

System and method for context enhanced ad creation

A system and method for context based query augmentation. A question is received over a network from a questioning user comprising an identification of a user and at least one question criteria. A first query is formulated so as to search, via the network, for user profile data, social network data, spatial data, temporal data and topical data so as to identify user context data relevant to question criteria. The question is modified using the user context data to create at least one modified question having at least one additional criteria based on the user context data. A second query is formulated so as to search, via the network, for knowledge data, user profile data, social network data, spatial data, temporal data and topical data so as to identify knowledge data relevant to the identified user and the modified question criteria. The knowledge data is transmitted, over the network, to the questioning user.

System and method for context based query augmentation

A method, system, and apparatus are directed to communicating data over a network. Event attributes comprising at least two of a temporal, spatial, social, or topical information are received. An event structure comprising fields associated with a different one of a temporal, spatial, social, or topical dimension based on the received event attributes is generated. An advertising attributes about an advertisement is received. The advertising attributes may comprise at least two of another temporal, spatial, social, or topical information. If the event structure matches the advertising attributes, the advertisement may be provided co-located with the event structure. The advertisement may be configured to provide a value exchange if the advertisement is activated.

Event communication platform for mobile device users

Methods and systems for processing multimedia content captured from a plurality of locations via one or more capturing devices include obtaining multimedia content from one or more capturing devices. The capturing devices identify a type of content being captured and/or location of capture. An interest type for multimedia content is obtained from a consuming user. The multimedia content from the capturing devices are searched based on the interest type of the consuming user. A subset of the multimedia content conforming to the interest type is presented in substantial real-time at the receiving devices of the consuming users. Feedback regarding the presented multimedia content is obtained from consuming users and communicated to the capturing devices in substantial real-time so as to influence future capture of multimedia content. The methods also include receiving a request for recording a live event wherein the request provides one or more recording preferences including one or more requester preferences for recording the live event. The request is dynamically matched to one or more generating users who have expressed intentions for recording the live event. The generating users are associated with one or more capturing devices that are configured to record the live event based on the recording preferences of the request. The request is then forwarded to the matched one or more generating users for recording the live event. User interactions at the recordings are monitored and fed back to the generating users for further refining the recordings.

Christopher William Higgins

Papers

Techniques for input recogniton and completion

System and method for context enhanced ad creation

System and method for context based query augmentation

Event communication platform for mobile device users

Distributed Automatic Recording of Live Event