Abstract: A system for retrieving/identifying a document comprising text stored in a document repository is described. A memory stores a graphical structure comprising a first plurality of nodes each representing a person, and a second plurality of nodes each representing a document in the document repository, the nodes being connected by edges according to automatically observed interactions between the represented people and documents. At least some of the nodes have one or more annotations each denoting a topic. A node relatedness calculator computes distances between nodes of the graphical structure using the topic annotations. An input receives an identifier of a user who is represented by one of the first plurality of nodes. An identifier/retriever identifies one or more documents from the document repository by using the identifier and using the computed distances between nodes.

Abstract: Retrieving and/or storing images associated with events is described. For example, streams of event data comprising text are analyzed to detect an event and a language component builds an event language model for the event, comprising a plurality of words. In various examples, images extracted from web or other sources have associated text. In examples, images with associated text that is similar to the event language model are identified as images of the event. In various examples, associations between images and events are used to update an image retrieval system and/or an image storage system. In various examples, query terms about an event are received at an image retrieval system which returns images related to the event on the basis of associations between image text and event language models.

Abstract: A system for retrieving/identifying a document comprising text stored in a document repository is described. A memory stores a graphical structure comprising a first plurality of nodes each representing a person, and a second plurality of nodes each representing a document in the document repository, the nodes being connected by edges according to automatically observed interactions between the represented people and documents. At least some of the nodes have one or more annotations each denoting a topic. A node relatedness calculator computes distances between nodes of the graphical structure using the topic annotations. An input receives an identifier of a user who is represented by one of the first plurality of nodes. An identifier/retriever identifies one or more documents from the document repository by using the identifier and using the computed distances between nodes.

Abstract: A system for retrieving/identifying a document comprising text stored in a document repository is described. A memory stores a graphical structure comprising a first plurality of nodes each representing a person, and a second plurality of nodes each representing a document in the document repository, the nodes being connected by edges according to automatically observed interactions between the represented people and documents. At least some of the nodes have one or more annotations each denoting a topic. A node relatedness calculator computes distances between nodes of the graphical structure using the topic annotations. An input receives an identifier of a user who is represented by one of the first plurality of nodes. An identifier/retriever identifies one or more documents from the document repository by using the identifier and using the computed distances between nodes.

Abstract: Retrieving and/or storing images associated with events is described. For example, streams of event data comprising text are analyzed to detect an event and a language component builds an event language model for the event, comprising a plurality of words. In various examples, images extracted from web or other sources have associated text. In examples, images with associated text that is similar to the event language model are identified as images of the event. In various examples, associations between images and events are used to update an image retrieval system and/or an image storage system. In various examples, query terms about an event are received at an image retrieval system which returns images related to the event on the basis of associations between image text and event language models.