Microsoft Technology Licensing, LLC

Daniel John Liebling

Jaime Brooks Teevan

Susan Theresa Dumais

Meredith June Morris

Eytan Adar

Richard Lloyd Hughes

Eric J Horvitz

David Maxwell Chickering

Paul Nathan Bennett

Saleema Amin Amershi

Kristina Nikolova Toutanova

Michael S Bernstein

Semiha Ece Kamar Eden

Kevyn Breca Collins-Thompson

Robert Warren Gruen

Pallavi Choudhury

Jin-Woo Jeong

Shamsi Tamara Iqbal

Ann M Paradiso

Anthony Lee Carbary

Brent Jaron Hecht

Shiri Azenkot

Jonathan Louis Elsas

Darren Francis Gehring

Edits on a content item, such as a document, are divided into microtasks. The microtasks associated with a document can be automatically identified based on a workflow or can be identified by a user associated with the content item or an administrator. At a later time, the user can complete the microtasks for a content item using an application associated with their smart phone or tablet. The application may present the microtasks in a game-like environment where the user can compete with other users based on metrics such as number of microtasks completed in a day or fastest completion time. In addition, the user can earn rewards such as badges, coupons, or credits by completing microtasks. In this way, users can use time that would have been wasted playing games to complete their content items, while still experiencing some of the fun and competition associated with the games.

Providing rewards and metrics for completion of microtasks

A system described herein includes a receiver component that receives a first dataset, wherein the first dataset comprises temporal dynamics pertaining to a document that is accessible by a search engine, wherein the temporal dynamics comprise an identity of a term corresponding to the document and an indication that the term has been subject to change over time. The system also includes a weight assignor component that assigns a relevance weight to the document based at least in part upon the temporal dynamics pertaining to the document, wherein the relevance weight is utilized by the search engine to assign a ranking to the document with respect to at least one other document when the search engine retrieves the document.

Assigning relevance weights based on temporal dynamics

Techniques and systems are disclosed for providing changed content identification for an online document that is accessed by a user or user agent. A reference point for an online document that a user or user agent is interested in accessing is identified, comprising a stored prior version of the document. The prior version of the document is retrieved, when the user or user agent accesses the online document, such as by using the reference point. Elements of the prior version are compared with elements of a current version of the document, to determine whether there are differences between the versions. If changes are identified between the prior version and the current version, the current version is automatically updated with visual or auditory representations that identify those changes of content.

Identifying changes for online documents

A system is described in which a user can add one or more automated agents as 'friends' in a social network service. In operation, an automated agent observes an information need expressed by the user via the social network service, e.g., in the form of an original message posted to the social network service; determines whether it is appropriate to reply to the information need; uses automated functionality to generate a reply message to the information need (if it is deemed appropriate to reply to the information need); and sends the reply message to a target destination, such as a social network page associated with the user. For example, without limitation, one type of automated agent performs a question-answering function. Another type of automated agent performs a social referral service.

Designating automated agents as friends in a social network service

Some examples include transitioning between an individual mode and a collaborative mode in response to an orientation change of a device. Further, some implementations include identifying data to be shared with one or more other devices (e.g., co-located devices) in the collaborative mode. In some examples, the individual mode may be associated with an individual search, the collaborative mode may be associated with a collaborative search, and the devices may transition between the individual mode and the collaborative mode in response to orientation changes.

Collaborative mobile interaction

Technologies pertaining to generating crowd-sourced answers are described herein. A text string is received, and the text string is parsed to determine if the text string represents an information need that is desirably answered by a collective of crowd workers. When it is determined that the information need is desirably answered by the collective of crowd workers, a query or question that represents the information need is provided to a first plurality of crowd workers, who generate proposed answers for the information need. The proposed answers are provided to a second plurality of crowd workers, who vote on the proposed answers. An answer to the information need is output based upon responses of the crowd workers.

Providing crowdsourced answers to information needs presented by search engine and social networking application users

Web page change may be related to revisitation patterns to support web interaction. In an example embodiment, a method involves analyzing change and revisitation data for a web page, determining a relationship between the data, inferring consumption intent by a user for the web page, and utilizing the inferred consumption intent. More specifically, change data is analyzed to produce a change characterization, with the change data reflecting differences between content of a web page at different times. Revisitation data is analyzed to produce a revisitation characterization, with the revisitation data including visit times to the web page by a user. A relationship is determined between the change and the revisitation data based on the change and the revisitation characterizations. Consumption intent of the user for the content of the web page is inferred responsive to the relationship. The inferred consumption intent is utilized to support interaction with the web page.

Relating web page change with revisitation patterns

One or more systems and/or techniques are provided for constructing a query classification index that can be used to classify a query into relevant categories. Where documents in an index are classified into one or more category predictions for a category hierarchy, classification metadata is generated for categories to which a document in the index has been classified. Further, the classification metadata is associated to the corresponding documents in the index. Additionally, a query of the index can be classified using the metadata associated to the documents in the index, and query results can be provided that are classified by the one or more categories identified by the classification of the query.

Query classification

One or more techniques and/or systems are provided for transitioning between representations of an electronic document. Elements, such as visual elements, common between a first set of elements from a first representation of the document and a second set of elements from a second representation of the document are identified. The non-intersecting elements from the first and second sets are respectively ranked in accordance with a representation relevance. First set non-intersecting elements are removed from an intermediate representation of the document, and second set non-intersecting elements are added to the intermediate representation, while the intermediate representation is not equivalent to the second representation; and respective iterations of the intermediate representation are output, such as to a display to depict a transition from the first representation of the document to the second representation of the document.

Document representation transitioning

Upon detection of an anomaly, a report is generated that includes a description the anomaly. A description of the anomaly contained in the report is examined to determine a proposed remedy for the anomaly.

Generation and retrieval of incident reports

Various embodiments can provide helpful information to a user who is looking for a particular point of interest. In at least some embodiments, first and second searches are conducted. The first search uses a local search provider and produces results which describe one or more points of interest relative to a location, such as a user's current location. Each point of interest can be associated with a destination location to which the user would like to travel. The second search uses a so-called transit route provider and utilizes the results of the first search to plan a transit route between the location and one or more of the respective destination locations.

Transit-coordinated local search

Generation and retrieval of a report which describes an incident encountered during attempted user interaction with content over a network is described. In a implementation, a method includes monitoring user interaction with content over a network. When an incident is detected from the monitoring, a report is generated which includes a description of the incident and a report identifier (ID) for communication to the user for retrieval of the report.

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Seattle, WA, United States of America

Daniel John Liebling