Microsoft Technology Licensing, LLC

Gal Lavee

Nir Nice

Haim Somech

Dikla Dotan-Cohen

Royi Ronen

Ido Priness

Noam Koenigstein

Oren Barkan

Hadas Bitran

Ron Jack Karidi

Nimrod Ben Simhon

Avigad Oron

Limor Lahiani

Paul Nogues

Oded Vainas

Shimon Shlevich

Shay Ben Elazar

Yehiel Berezin

Tal Zaccai

In implementations, a divergence from a pattern of detected instances of an event is identified, where the event is of a routine of a user. The identified divergence corresponds to an out of routine event. Contextual information is generated corresponding to the identified out of routine event. Furthermore, one or more recommended actions for presenting content to the user are selected based on the contextual information. An indication of the identified out of routine event, the contextual information, and the one or more recommended actions are provided to a service, which may be an application on a user device. The service can present content to the user based on the identified out of routine event, the generated contextual information corresponding to the identified out of routine event, and the selected one or more recommended actions. The service may follow or disregard any of the selected one or more recommended actions.

Service content tailored to out of routine events

A playlist generator that utilizes multiple data sources to rank each track within a set of candidate tracks to enable selection of candidate tracks according to the ranking. Candidate tracks are each scored according to one or more features, such as acoustic similarity and/or similar usage patterns of the candidate track or artist of the candidate track to a current or previously played track or artist. Each feature is weighted according to historical listening patterns surrounding a user-selected playlist seed artist. The weighting may also be further corrected according to historical listening patterns of the particular user. When historical usage data related to a particular seed artist is limited, more generalized historical usage data related to a higher level in a genre hierarchy may be used.

Hierarchical multisource playlist generation

Systems, methods, and media for proposing similar applications to a candidate application are provided. A similar results server may surface similar applications to a user of an application store. The applications can be selected based on similarity between features of the application. The features may be extracted from graphical user interface information rendered by a device that executes the applications. The applications that are identified as similar (e.g., based on the features) are displayed to the user.

Identifying similar applications

Topical affinity badges in information retrieval is described, for example, where graphical elements are presented together with ranked search results from a search engine, to indicate a degree of association between an author of a document and a topic. In various embodiments, a measure of an author's affinity to a topic is predicted using a machine learning system that takes as input author features derived from documents of the author. In various examples topical affinity scores or labels are used to generate badges and/or to index documents at an index of a search engine. For example, badges may be presented with ranked search results, in pop up displays or in other ways. In examples author features relating to any of recency, frequency and presentation of an author's documents are generated, where presentation features may relate to biographical information such as experience, qualifications, and previous documents.

Topical affinity badges in information retrieval

Growing community of inventors

Tel Aviv, Israel

Gal Lavee