Google Inc.

Qylur Security Systems, Inc.

Gal Chechik

Samy Bengio

Yaniv Leviathan

Eyal Segalis

Yoav Tzur

Yossi Matias

Asaf Zomet

Tomas Izo

Michael Shynar

Jay Yagnik

Sergey Ioffe

Hrishikesh Balkrishna Aradhye

Ran El Manor

Varun Sharma

Tomer Shmiel

Ziv Bar-Yossef

Dvir Keysar

Xiaoquan Yi

Bilson Campana

Efrat Farkash

Richard Francis Lyon

Ehud Rivlin

Martin Rehn

Thomas Walters

Geremy Heitz

A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model.

Relevance-based image selection

Systems and methods are provided for searching and identifying quotes in response to a query from a user. Consistent with certain embodiments, systems and methods are provided for identifying one or more subject entities associated with the query and for identifying, from a database or from search results obtained in response to the query, a set of quotes corresponding to the one or more subject entities. Further, systems and methods are provided for determining quote scores for the identified quotes based on at least one of the relationship of each quote to the one or more subject entities, the recency of each quote, and the popularity of each quote. Additionally, systems and methods are provided for organizing the identified quotes in a rank order based on the quote scores and selecting quotes based on the rank order or based on the quote scores. In addition, systems and methods are provided for transmitting information to display the selected quotes on a display device.

Systems and methods for searching quotes of entities using a database

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting textual representations for entity attribute values. One of the methods includes receiving, for presentation to a user, data identifying a relevant entity and a respective presentation attribute value for each of a plurality of presentation attributes associated with the relevant entity; obtaining user profile data for the user; selecting a respective textual representation for each of the presentation attribute values, wherein selecting the textual representations comprises selecting a first alternative textual representation for a first presentation attribute value based on the user profile data; and providing data identifying the entity and the textual representations for presentation to the user.

Selecting textual representations for entity attribute values

Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.

User-guided term suggestions

In one example embodiment, a computer system includes at least one processor and a memory storing a data graph and instructions. The instructions, when executed by the at least one processor, cause the system to generate a template sentence based on a fact including a first node, a second node and a string, wherein the first node and the second node exist in the data graph and the string represents a fact that is absent from the data graph, search the internet for a document including the template sentence, and upon determining the internet includes the document with the template sentence, infer the fact by generating a series of connections between nodes and edges of the data graph that together with the first node and the second node are configured to represent the fact, the series of connections defining a path, in the data graph, from the first node to the second node.

Semi structured question answering system

Systems and methods are disclosed for providing an explanation of an estimate for information missing from a data graph. An example method may include receiving a query that requests information for a first entity and receiving an estimate for the information, the estimate being based on a plurality of features of a joint distribution model. The method may include determining respective contribution scores for the plurality of features, selecting a quantity of the features with highest contribution scores, generating, using the selected quantity of features, an explanation for the estimate; and providing the explanation and the estimate as part of a search result for the query.

Providing an explanation of a missing fact estimate

Techniques for summarizing media are described. A viewer-interaction analyzer receives a media file containing media, the media file including a plurality of segments. A segment of the media file is scored based on interactions of a set of raters. Viewer metrics on the segment of the media file are measured based on interactions with the segment of the media file by a set of viewers. A set of feature vectors are formed based on the measured viewer interactions, where feature vectors in the set of feature vectors are based on interactions of the set of viewers. A model is trained based on the set of feature vectors and the score assigned to the segment of the media file. The model is applied to segments of the media file to generate an interest rating for segments of the media file. An edited media file is generated based on segments of the media file having interest ratings that meet a criterion. The Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Media Summarization

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying related questions for a search query is described. One of the methods includes receiving a search query from a user device; obtaining a plurality of search results for the search query provided by a search engine, wherein each of the search results identifies a respective search result resource; determining one or more respective topic sets for each search result resource, wherein the topic sets for the search result resource are selected from previously submitted search queries that have resulted in users selecting search results identifying the search result resource; selecting related questions from a question database using the topic sets; and transmitting data identifying the related questions to the user device as part of a response to the search query.

Generating related questions for search queries

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Los Altos, CA, United States of America

Gal Chechik