Abstract: Contextual data may be generated from assets in asset portfolios using metadata enrichment services. A recommendation engine may generate a set of recommended assets for presentation in a content stream based on the contextual data. Brand safety may be implemented using a brand safety policy that uses the contextual data as indicators of potentially offensive content. Advertisements included in the content stream may also be targeted based on the contextual data.

Abstract: A system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured.

Abstract: A pulse transit time is measured non-invasively and used to calculate a blood pressure value. A method of determining one or more blood pressure values includes propagating an alternating drive current through a thorax of a subject via electrodes located on a wrist-worn device. Resulting voltage levels of the subject are sensed by the wrist-worn device. The voltage levels are processed to detect when a volume of blood is ejected from the left ventricle. Output from a pulse arrival sensor coupled to the wrist-worn device is processed to detect when a blood pressure pulse generated by ejection of the volume of blood from the left ventricle arrives at the wrist. A pulse transit time (PTT) for transit of the blood pressure pulse from the left ventricle to the wrist is calculated. One or more blood pressure values for the subject are determined based on the PTT.

Abstract: Computer vision techniques are applied to a video segment to identify a specific media content category. A media context metadata portion including a specific media content indicator indicating the specific media content category is generated. When the video segment is to be played back, an enriching media content item is selected from among enriching media content items based on the specific media content indicator and played back before, after or during the video segment.

Abstract: An asset to be displayed during an online engagement is identified. A mixture of multimedia assets that include any combination of: audio, video, text, or image, are selected to be displayed simultaneously with the asset. Each multimedia asset selected based at least on a relationship between the multimedia asset and the asset to be displayed during the online engagement. A presentation screen is created that includes the selected multimedia assets and the asset to be displayed during the online engagement based on display parameters of a receiving device.

Abstract: Contextual data may be generated from assets in asset portfolios using metadata enrichment services. A recommendation engine may generate a set of recommended assets for presentation in a content stream based on the contextual data. Brand safety may be implemented using a brand safety policy that uses the contextual data as indicators of potentially offensive content. Advertisements included in the content stream may also be targeted based on the contextual data.

Abstract: An asset to be displayed during an online engagement is identified. A mixture of multimedia assets that include any combination of: audio, video, text, or image, are selected to be displayed simultaneously with the asset. Each multimedia asset selected based at least on a relationship between the multimedia asset and the asset to be displayed during the online engagement. A presentation screen is created that includes the selected multimedia assets and the asset to be displayed during the online engagement based on display parameters of a receiving device.

Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

Abstract: Contextual data may be generated from assets in asset portfolios using metadata enrichment services. A recommendation engine may generate a set of recommended assets for presentation in a content stream based on the contextual data. Brand safety may be implemented using a brand safety policy that uses the contextual data as indicators of potentially offensive content. Advertisements included in the content stream may also be targeted based on the contextual data.

Abstract: Creating a playlist of multimedia assets based on estimated user viewing length and an estimated length of engagement during a user session. Assets are selected based on an anchor asset displayed with the playlist of multimedia assets.

Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

Abstract: Asset portfolios may be expressed in a category taxonomy to provide a hierarchical data structure for a recommendation engine. The traversal cost across a weighted directed graph between nodes in the category taxonomy is used as a component of a composite score for a category transition. Observed data about category transitions is aggregated to provide an additional component of the composite score. Randomness may also be used to promote data discovery in the asset portfolio management and recommendation engine as part of the weighted composite score.

Abstract: A low-profile blood pressure measurement system and methods of use are disclosed. The system includes an expandable member or structure that has a multi-compartment structure and/or is mounted on a rigid surface or structure. The system is incorporated into a portable multi-function device, or is configured to communicate with a portable multi-function device.

Abstract: Endogenous and exogenous variables associated with an item for sale by an affiliate may be displayed to a user of an affiliate decision-making tool. In response to the user selecting one of the endogenous variables, the affiliate decision-making tool may compute a number of introductions, a number of leads, and a number of sales for each of a plurality of possible values of the endogenous variable. The computation may be done utilizing a display position algorithm. A visualization of effects of setting the endogenous variable at different levels may be presented. The user may interact with the display position algorithm to vary one or more of the plurality of possible values of the endogenous variable such that the affiliate is eligible or disqualified to be displayed by an intermediary in response to a search for the item by a visitor of a network site owned and operated by the intermediary.

Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

Abstract: Branded content, or a target asset, may be included in a set of ordered assets based on the category of an anchor asset. Fill rates, total views of the target asset, or a combination may be used in selecting an optimization strategy. A dual optimization may be used to reduce the burden of presentation based on historical yield rates and follow-on rates observed from category transition data. Serendipity may be incorporated in the process through use of a reserve pool of transitions.

Abstract: Assets in an asset portfolio are evaluated using historical data and, optionally, additional other measurable characteristics for the assets in the asset portfolio. Each asset is assigned a valuation that represents past consumption and expected future consumption of the asset. The valuation is used to create recommended sets of assets from the asset portfolio. The recommended sets of assets are sent to user devices for consumption which is further monitored for accuracy.

Abstract: Creating a playlist of multimedia assets based on estimated user viewing length and an estimated length of engagement during a user session. Assets are selected based on an anchor asset displayed with the playlist of multimedia assets.

Abstract: Branded content, or a target asset, may be included in a set of ordered assets based on the category of an anchor asset. Fill rates, total views of the target asset, or a combination may be used in selecting an optimization strategy. A dual optimization may be used to reduce the burden of presentation based on historical yield rates and follow-on rates observed from category transition data. Serendipity may be incorporated in the process through use of a reserve pool of transitions.

Abstract: Contextual data may be generated from assets in asset portfolios using metadata enrichment services. A recommendation engine may generate a set of recommended assets for presentation in a content stream based on the contextual data. Brand safety may be implemented using a brand safety policy that uses the contextual data as indicators of potentially offensive content. Advertisements included in the content stream may also be targeted based on the contextual data.