Vierra Magen Marcus & DeNiro LLP
Online relevance engine
Information is automatically located which is relevant to source content that a user is viewing on a user interface without requiring the user to perform an additional search or navigate links of the source content. The source content can be, e.g., a web page or a document from a word processing or email application. The relevant information can include images, videos, web pages, maps or other location-based information, people-based information and special services which aggregate different types of information. Related content is located by analyzing textual content, user behavior and connectivity relative to the source. The related content is scored for similarity to the source. Content which is sufficiently similar but not too similar is selected. Similar related content is grouped to select representative results. The selected content is filtering in multiple stages based on attribute priorities to avoid unnecessary processing of content which is filtered out an early stage.
Microsoft Corporation
G
G06F
inventional
Oded Eran Benny Noga Roy Ron Hen Daniel Limor
Elyada Yariv Schlesinger Amit Varshavsky Karidi Fitoussi Sitton Lahiani