Google Inc.

Other

Aol Inc.

Jeffrey C Reynar

Andrew William Hogue

Michael Gordon

Ryan T McDonald

Kerry L Hannan

Tyler J Neylon

David J Vespe

Daniel Loreto

Sasha Blair-Goldensohn

Nikola Jevtic

Leonardo A Laroco, Jr

David Petrou

David Bryan Alpert

Vinicius J Fortuna

Andriy Bihun

Ankur Bhargava

Alexander P Kehlenbeck

Elena Erbiceanu

Nikolai V Yakovenko

Michael Lloyd Wells

Chiu-Ki Chan

Oren Eli Zamir

Jeffrey Korn

Jonathan T Betz

Jeremy Hylton

Kushal Dave

Andrew Miller

Lyle H Ungar

James Kevin Scott

Krzysztof Czuba

Jason M Eisner

Eric S Flatt

Daniel J Yehuda

Fred Herz

Robert Sewell

Jason M Watson

Embodiments retrieve a set of search results that have been previously identified as having at least one associated date or location. A timeline or map is displayed that visually represents the distribution of the dates or locations within the results. The timeline is displayed with a histogram graph corresponding to the number of dates in the search results at points along the timeline. The map is displayed with markers at the locations corresponding to the locations in the search results. The user can navigate the result set using the displayed timeline or map.

Displaying search results on a one or two dimensional graph

A method, a system and a computer program product for ranking reviewable entities based on sentiment expressed about the entities. A plurality of review texts are identified wherein each review text references an entity. A plurality of sentiment scores associated with the plurality of review texts are generated, wherein each sentiment score for a review text indicates a sentiment directed to the entity referenced by the review text. A plurality of ranking scores for the plurality of entities are generated wherein each ranking score is based at least in part on one or more sentiment scores associated with one or more review texts referencing the entity. A plurality of search results associated with the plurality of entities are displayed based at least in part on the ranking scores.

Sentiment detection as a ranking signal for reviewable entities

A system and method for disambiguating references to entities in a document. In one embodiment, an iterative process is used to disambiguate references to entities in documents. An initial model is used to identify documents referring to an entity based on features contained in those documents. The occurrence of various features in these documents is measured. From the number occurrences of features in these documents, a second model is constructed. The second model is used to identify documents referring to the entity based on features contained in the documents. The process can be repeated, iteratively identifying documents referring to the entity and improving subsequent models based on those identifications. Additional features of the entity can be extracted from documents identified as referring to the entity.

Finding and disambiguating references to entities on web pages

Systems and methods are provided for delivering customized versions of web pages to users. In one implementation, a method is provided for customizing a delivered version of a web page to reflect a current time-of-day at a geographic location of the user. According to the method, a request for a web page is received from a client device of the user. The request for the web page includes an IP address of the client device. Based on the IP address, a current time is determined for the received request. Thereafter, a version of the requested web page corresponding to the current time is generated, and the generated version of the requested web page is delivered to the client device.

Systems and methods for web site customization based on time-of-day

A presentation engine presents facts in a UI having a graph. Through manipulation of the UI, an end-user can add or remove facts from the graph, and can sort the facts shown in the graph based on values that are shown, or not shown, in the graph. The presentation engine determines a graph type that best facilitates interpretation of the facts by the end-user and automatically creates a graph of that type. Possible graph types include bar graphs, scatter plots, timelines, and maps.

Data object visualization using graphs

Computers and methods are provided for receiving a search request sent by a computer associated with a user. A set of documents comprising a plurality of documents that satisfy the search request is identified. At least some documents in the plurality of documents have previously been annotated by at least one user of a plurality of users. A response to the search request is sent. The response includes a ranked set of links to at least some of the plurality of documents that satisfy the search request. At least some of the links are to documents that have previously been annotated by at least one user of the plurality of users. The response is associated with instructions to display one or more corresponding annotations for at least some of the links to documents that have previously been annotated by at least one user of the plurality of users. The response is further associated with instructions to display a filter selector including one or more filter options to reduce the identified set of documents.

Method, system, and graphical user interface for improved search result displays via user-specified annotations

Methods, systems, and apparatus, including computer programs stored on computer storage media, for populating a structured presentation with new values. One aspect can be embodied in machine-implemented methods that include the actions of obtaining a plurality of instances and a plurality of attributes; for each instance: identifying one or more documents from an unstructured document collection that are relevant to the instance, where each of the one or more documents include at least a value for an attribute in the plurality of attributes; and establishing a subset of the one or more values as characterizing the instance; and adding each instance, the respective attributes, and the respective subset of values to a structured data collection.

Populating a structured presentation with new values

A repository contains objects representing entities. The objects also include facts about the represented entities. The facts are derived from source documents. A synonymous name of an object is determined by identifying a source document from which one or more facts of the entity represented by the object were derived, identifying a plurality of linking documents that link to the source document through hyperlinks, each hyperlink having an anchor text, processing the anchor texts in the plurality of linking documents to generate a collection of synonym candidates for the entity represented by the object, and selecting a synonymous name for the entity represented by the object from the collection of synonym candidates.

Learning synonymous object names from anchor texts

Methods, systems, and apparatus, including computer programs stored on computer storage media, for retrieval and display of information from an electronic document collection. One aspect can be embodied in machine-implemented methods that include the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new attribute that is relevant to the preexisting structured presentation, adding an identifier of the new attribute to the preexisting structured presentation to form an expanded structured presentation, and outputting instructions for presenting the expanded structured presentation.

Adding new attributes to a structured presentation

Methods, systems, and apparatus, including computer programs stored on computer storage media, for retrieval and display of information from an electronic document collection. In one aspect, a machine-implemented method includes the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new instance that is relevant to the preexisting structured presentation, adding an identifier of the new instance to the preexisting structured presentation to form an expanded structured presentation, and outputting instructions for presenting the expanded structured presentation.

Adding new instances to a structured presentation

Methods, systems, and apparatus, including computer programs stored on computer storage media, for populating a structured presentation with new values. One aspect can be embodied in machine-implemented methods that include the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new value that is relevant to the preexisting structured presentation, adding the new value to the preexisting structured presentation to form a new structured presentation, and outputting instructions for visually presenting the new structured presentation.

Growing community of inventors

New York, NY, United States of America

Jeffrey C Reynar