Microsoft Technology Licensing, LLC

Oded Elyada

Adi Diamant

Inbal Ort Bengal

Ron Jack Karidi

Karen Master Ben-Dor

Guy Asi Merin

Zijia Zheng

Jeffrey M Jo

Shaiket S Das

Karen Rachel Master Ben-Dor

Aditya R Kalro

Xuedong D Huang

Benny Schlesinger

Eran Yariv

Hen Fitoussi

Daniel Sitton

Roy Varshavsky

Limor Lahiani

Liat Segal

Noga Amit

Rotem Bennett

Automatically alternating between input modes on a computing device based on a usage pattern is provided. A first input mode is initiated for interacting with content displayed on the computing device. An input corresponding to a second input mode on the computing is then detected. A transition is then made from the first input mode to the second input mode on the computing device. Upon the detecting a termination of the input on the displayed content the second input mode, a gradual transition is made from the second input mode to the first input mode based on a current sensor state of the computing device and a threshold.

Accommodating sensors and touch in a unified experience

Controlling images at mobile devices using sensors is described, for example, for interactive advertisements which respond to sensor readings at a mobile computing device. In various embodiments images are displayed at a mobile computing device according to sensor readings observed at the device and before user input is received at the images. For example, different regions of an image depicting a panorama are displayed as a mobile device is panned around or tilted. In another example images of an object in different orientations are presented as a mobile device is tilted in order to display the object as rotating. In various examples the images are displayed as part of a web page by using a template in the web page to control the display of images according to sensor readings. In various examples sensor readings are used to report user engagement with advertisements.

Controlling images at mobile devices using sensors

Techniques for determining a set of keywords associated with a document are provided. A document is received that may be classified into a taxonomy that includes a plurality of categories. A categorization ranking is determined for each category for the received document. A set of categories of the taxonomy having highest categorization rankings is determined for the received document. Documents representing the set of categories having highest categorization rankings are combined together into a cumulative representative text that includes a plurality of terms. A cumulative term corpus importance score is determined for each term in the cumulative representative text. The cumulative term corpus importance score for a particular term indicates an importance of the particular term in a context of the cumulative representative text. A set of terms of the cumulative representative text having highest cumulative term corpus importance scores is selected to be keywords for the received document.

Keywords extraction and enrichment via categorization systems

Controlling images at hand-held devices using sensor input, for example, as detected by one or more orientation sensors in a hand-held computing device is described. In various embodiments images are displayed at a hand-held computing device according to orientation sensor readings observed at the device and before user input is received at the images. For example, two or more images with different opacities are superimposed and the opacities differentially varied as the hand-held device is tilted. In another example images are placed in a 3D space which is rotated as the device is tilted. In another example, a video is played either forwards or backwards according to an orientation of the device. In various examples the images are displayed as part of a web page by using a template in the web page to control the display of images according to sensor readings.

Controlling images at hand-held devices

A search system may use a stateful session that suggests new keywords for refining a search with each iteration of a search sequence. The keywords may be derived from a set of previous search results, or may be identified from a taxonomy of terms. A user may be able to select the keywords to include or exclude from a user interface to further refine the search. In some embodiments, the user interface may also include various metadata parameters to include or exclude. The system may use one or more conventional query-based search engines and may be implemented as a client application, intermediate service, or as part of a search engine.

Search session with refinement

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.

Online relevance engine

Growing community of inventors

Hod Hasharon, Israel

Oded Elyada