Xerox Corporation

Palo Alto Research Center Inc.

University of Minnesota

Google Inc.

Ed H Chi

Peter L T Pirolli

James Edward Pitkow

Lichan Hong

Stuart Kent Card

Hinrich H Schuetze

Jun Li

Bongwon Suh

Jock Douglas Mackinlay

Lester D Nelson

Gregorio Convertino

Rowan Nairn

Rich Gossweller

Mark Jeffrey Stefik

Francine R Chen

Guillaume M Bouchard

Victoria M Bellotti

Benjamin Vincent Hanrahan

Jeffrey Heer

Nicholas Chi-yuen Kong

Cedric Philippe C J G Archambeau

Richard Carl Gossweiler, Iii

Ullas Gargi

Robert Roy Price

Kurt Edward Partridge

Nicolas B Ducheneaut

Allison Gyle Woodruff

James M A Begole

Michael Roberts

Jock D MacKinlay

Victoria M E Bellotti

Joseph A Konstan

John T Riedl

Leslie T Niles

Chris Olston

Lawrence Lee

Barbara Stefik

William S Liu

Phillip J Barry

Michael Bernstein

Jilin Chen

Fabio Gasparetti

Kevin Robert Canini

Peter Lai

Christopher Olston

Jeffery M Heer

Kim K Chen

Peter L Pirolli

Jeffery Heer

Techniques are described that provide a reading pane for reading one or more content portions of a work and a guide pane that displays a structured overview of additional information from the corpus that is focused by an analysis of information from the currently-visible content portion of the work. The contents of the currently-visible content portion displayed within the reading page are used to derive dynamic representations of the user's immediate interests. At the user's request, a structured persistent context-aware guide is computed and displayed. The persistent context-aware guide provides a framework for accessing other parts of the corpus having the most-related information. The elements in the persistent context-aware guide are other content portions or other organizations such as sections, chapters, or articles in the corpus. The persistent context-aware guide may also incorporate additional closely-related information elements from outside the corpus including advertisements. Advertisements for information on the topics of immediate interest to the user can be incorporated within the structured, context-aware guide so that the reader can purchase them and review that information in the context of the current session. The guide pane and the reading pane support navigation controls so that the user can go to new or previous sub-portions of the content portion, new or previous content portions and/or new or previous persistent context-aware guides.

Systems and methods for persistent context-aware guides

A system and method for content-based message distribution are provided. An incoming message with a recipient address and a tag address including at least one content tag associated with one or more users is received. The content tag within the tag address and a recipient associated with the recipient address are identified. The recipient is added to the content tag as one of the users. The incoming message is displayed to at least one of the users associated with the content tag.

System and method for content-based message distribution

A system and method for triaging of information feeds is provided. A plurality of information feeds are received. At least one topic is identified from each information feed. At least one topic is presented to a user in topic facet including a plurality of identified topics. A selection of one of the plurality of topics is received from the user. The user interface is updated to display only the feeds that contain the selected topic.

System and method for triaging of information feeds

A system and method for generating an information stream summary using a display metric is provided. An information stream including a plurality of information stream items is received. A display metric is calculated for each of the plurality of information stream items. The information stream items are grouped into one or more summary objects. A size is assigned to each of the one or more summary objects and the one or more summary objects are displayed based on the assigned size.

System and method for generating an information stream summary using a display metric

A system and method for identifying topics for short text communications is provided. Tokens are extracted from a short text communication. A query is generated using the extracted tokens. The query is applied to a set of documents. Those documents in the set that match the query are identified as search results. Salient terms associated with each of the search results are identified. A threshold is applied to the identified salient terms. The salient terms that satisfy the threshold are selected as topics for the short text communication.

System and method for identifying topics for short text communications

A system and method for recommending interesting content is provided. A content profile including a vector of words extracted from messages associated with a user is obtained. One or more content pointer profiles each including a vector of words associated with a content pointer located within one or more messages are obtained. The content profile is compared with each of the content pointer profiles. A relevance score is determined for that content pointer by calculating a similarity between the user words and the content pointer words. The content pointers are ranked based on the relevance score. A threshold is applied to select the content pointers and those content pointers that satisfy the threshold are selected as the content pointers most relevant to the user.

Recommending interesting content using messages containing URLs

A system and method for providing mixed-initiative curation of information within a shared repository is provided. Static content is retrieved from a shared storage associated with a shared information management client. Dynamic content including one or more information items satisfying a similarity threshold with the static content is identified as similar dynamic content. An interactive visualization is generated within the shared information management client from information extracted from the static content and the similar dynamic content. The interactive visualization of the information is linked with the static content and the similar dynamic content. A selection of the information of the similar dynamic content is received from within the visualization. The static content in the shared storage is updated with the similar dynamic content linked with the selected information.

System and method for providing mixed-initiative curation of information within a shared repository

Techniques are presented to provide personalized search results to a user. A user history optionally classified into projects or tasks is determined. A profile for the user is determined by identifying keywords, concepts or other user and/or task specific descriptors within user history documents. A proximal neighborhood based on the user's history and adjustable crawling parameters is determined. The adjustable crawling parameters define which documents linked to documents in the user history are included within the proximal neighborhood. A user query is determined and used to search the set of documents within the proximal neighborhood. The results are then ranked based on the user profile information. The ranked results are optionally displayed to the user.

Systems and methods for personalized search

A system and method for content tagging and distribution through email are provided. A user-to-tag record including content tags, each associated with one or more users, is maintained. An incoming email message with a tag address is received. The tag address is processed to identify a content tag, which is applied to the user-to-tag record. Users associated with the identified content tag are determined. The incoming email message is provided to the associated users.

System and method for content tagging and distribution through email

A system and method for supporting targeted sharing and early curation of information is provided. A digital data item selection by a user within a personal information management client is identified. One or more documents in a shared information repository similar to the digital data item are recommended including selecting recommendation criteria. The recommendation criteria are applied to the digital data item and the one or more documents. The one or more documents satisfying the recommendation criteria are identified as the similar documents. The similar documents are displayed visually proximate to the digital data item in the personal information client. A selection of one of the similar documents is received and the selected similar document in the shared information repository is updated with the digital data item.

System and method for supporting targeted sharing and early curation of information

Methods, apparatus and articles of manufacture therefor, are disclosed for annotating documents in a viewer. In one embodiment, the method includes: associating the document with a user; identifying one or more sub-document elements in the document; augmenting the document by making words within the document selectable; displaying the augmented document in the viewer; and responsive to each user input selecting a word in the document displayed in the viewer, further augmenting the document displayed in the viewer by inserting the selected word following the sub-document element from which the word was selected.

System and method for annotating documents using a viewer

A system and method for identifying users relevant to a topic of interest is provided. A query comprising one or more topics is executed against a corpus of messages. Voting users associated with the messages matching the query are identified. A set of candidate users comprising users connected to the voting users is generated. A relevancy score is computed for each candidate user. The candidate users are ranked by their respective relevancy score.

System and method for identifying users relevant to a topic of interest

Methods, apparatus and articles of manufacture therefor, are disclosed sharing and searching annotated document collections. In one embodiment, the method may be performed by: transforming a plurality of document identifiers and their associated set of tags into a set of URL/TAG pairs; constructing a bigraph using the set of URL/TAG pairs; using the bigraph to compute tag profiles and document profiles using spreading activation for document identifiers and tags in the set of URL/TAG pairs; for a selected tag or document, identifying a tag profile or a document profile associated with the selected tag or document, respectively; arranging by relevance those tags or documents in the identified tag profile or document profile associated with the selected tag or document, respectively.

System and method for searching annotated document collections

Techniques for determining user types based on multi-modal clustering are provided. The topology, content and usage of a document collection or web site is determined. The user paths are identified using longest repeating subsequence techniques and a multi-modal information need vector is determined for each significant user path. Multi-modal vectors for each document in the significant path, content, uniform resource locators, inlink and outlink multi-modal vectors are determined and combined based on path position and access frequency. Multi-modal clustering is performed based on a multi-modal similarity function and a specified measure of similarity using a type of multi-modal clustering such as K-means or wavefront clustering. The identified clusters may be further analyzed based on changes to the weighting of the corresponding content, url, inlinks and outlinks multi-modal feature vectors.

Systems and methods for identifying user types using multi-modal clustering and information scent

One embodiment of the present invention provides a method for recommending activities to a user. During operation, the system determines an activity-type distribution based on the user's personal profile and/or population prior information, thereby facilitating prediction of future activities for the user. The system further searches for and receives one or more activities based on the activity-type distribution. The system then scores each received activity and recommends a number of activities to be performed by the user in the future and a number of corresponding venues, based on the activity-type distribution and the weight distribution.

Method and system to predict and recommend future goal-oriented activity

Growing community of inventors

Palo Alto, CA, United States of America

Ed H Chi