Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: Some embodiments provide systems to determine contextual information comprising: an intent mining system that receive inquiry content that does not include personal identification information (PII) and is configured to determine an estimated intent information being sought by an intended recipient, identify a mapping to a sub-set of supplemental keywords corresponding to the intent information; and identify historic inquiries associated with actual historic product purchases relevant to the inquiry content and supplemental keywords, and obtain a listing of products associated with the inquiry content; a product association system that identifies a set of multiple products that each have a purchase threshold relationship with one or more products from the determined listing of products, and generate an enhanced listing of products; a topic extraction system that evaluates associations between product parameters of the enhanced listing of products to identify multiple associated topics and corresponding topic c

Abstract: In one embodiment, a method includes identifying a trending topic on an online social network, accessing a plurality of content objects posted to the online social network, wherein each content object is associated with the trending topic, and categorizing each content object into clusters based on a natural-language analysis of the content objects. The method may further include calculating a quality score for each cluster, wherein the quality score for each cluster is based at least on a measure of recency of one or more publication dates of the content objects within the cluster, select the cluster with the highest quality score as a trending cluster, and generating a trending-topic interface that includes a headline and description of the trending topic, wherein the headline and description are extracted from one or more of the content objects within the trending cluster.

Abstract: In one embodiment, a method includes identifying a trending topic on an online social network, accessing a plurality of content objects posted to the online social network, wherein each content object is associated with the trending topic, and categorizing each content object into clusters based on a natural-language analysis of the content objects. The method may further include calculating a quality score for each cluster, wherein the quality score for each cluster is based at least on a measure of recency of one or more publication dates of the content objects within the cluster, select the cluster with the highest quality score as a trending cluster, and generating a trending-topic interface that includes a headline and description of the trending topic, wherein the headline and description are extracted from one or more of the content objects within the trending cluster.

Abstract: Communicating between managed add-ins and COM hosts. A computing environment includes host objects which may be one of a COM object or a managed code object. The computing environment further includes add-in objects implemented in managed code. Add-in object can provide additional functionality to the host objects. A method includes acts for communicating between add-in objects and host objects. The method includes determining that a first host object to be communicated with is a COM object of a COM host. As a result of determining that a host object to be communicated with is a COM object, incoming and outgoing communications from a managed code add-in are routed through an interop proxy. The interop proxy is implemented in managed code with a managed code add-in. The interop proxy is configured to translate managed code invocations to COM code invocation, and to translate COM code invocations to managed code invocations.

Abstract: Mock exceptions, including mock exception types, are defined by a host to be raised in a plug-in. The mock exceptions might be sanitized. They might be transported from the plug-in to the host. Mock exceptions might also be mapped to real exceptions, which are raised in the host and handled by the host.

Abstract: Communicating between managed add-ins and COM hosts. A computing environment includes host objects which may be one of a COM object or a managed code object. The computing environment further includes add-in objects implemented in managed code. Add-in object can provide additional functionality to the host objects. A method includes acts for communicating between add-in objects and host objects. The method includes determining that a first host object to be communicated with is a COM object of a COM host. As a result of determining that a host object to be communicated with is a COM object, incoming and outgoing communications from a managed code add-in are routed through an interop proxy. The interop proxy is implemented in managed code with a managed code add-in. The interop proxy is configured to translate managed code invocations to COM code invocation, and to translate COM code invocations to managed code invocations.

Abstract: Mock exceptions, including mock exception types, are defined by a host to be raised in a plug-in. The mock exceptions might be sanitized. They might be transported from the plug-in to the host. Mock exceptions might also be mapped to real exceptions, which are raised in the host and handled by the host.