Abstract: The present teaching relates to method and system for generating a stream of content items. A plurality of entities associated with a time-window are obtained, wherein each entity of the plurality of entities is associated with at least one content item. For each entity, a first parameter with respect to the time-window, a second parameter with respect to previous time-windows, and a trendiness score based on a function of the first parameter and the second parameter are respectively calculated. A graph based on one or more entity-pairs is generated, wherein each entity-pair of the one or more entity-pairs satisfies a first criterion. A stream of content items is generated based on the graph, wherein each content item in the stream of content items corresponds to at least one of the one or more entity pairs.

Abstract: The present teaching relates to method and system for generating a stream of content items. A plurality of entities associated with a time-window are obtained, wherein each entity of the plurality of entities is associated with at least one content item. For each entity, a first parameter with respect to the time-window, a second parameter with respect to previous time-windows, and a trendiness score based on a function of the first parameter and the second parameter are respectively calculated. A graph based on one or more entity-pairs is generated, wherein each entity-pair of the one or more entity-pairs satisfies a first criterion. A stream of content items is generated based on the graph, wherein each content item in the stream of content items corresponds to at least one of the one or more entity pairs.

Abstract: The present teaching relates to method and system for generating a stream of content items. A plurality of entities associated with a time-window are obtained, wherein each entity of the plurality of entities is associated with at least one content item. For each entity, a first parameter with respect to the time-window, a second parameter with respect to previous time-windows, and a trendiness score based on a function of the first parameter and the second parameter are respectively calculated. A graph based on one or more entity-pairs is generated, wherein each entity-pair of the one or more entity-pairs satisfies a first criterion. A stream of content items is generated based on the graph, wherein each content item in the stream of content items corresponds to at least one of the one or more entity pairs.

Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

Abstract: Software generates an article signature for each article in a plurality of articles. The software initializes a clustering algorithm with a plurality of initial clusters that are non-overlapping. A centroid signature is generated for each initial cluster from the article signatures of the articles in the initial cluster. The software performs a succession of alternating merges and splits using the centroid signatures to create a plurality of non-overlapping coherent clusters from the plurality of initial clusters. The software identifies an article that is related to a specific article by mapping the article signature for the specific article to the centroid signature for at least one coherent cluster and comparing that article signature to the article signatures of the articles in the coherent cluster, using at least one similarity measure. The software displays the specific article and the related article in proximity to each other in a content stream.

Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.