International Business Machines Corporation

Google Inc.

Ramakrishnan Srikant

Rakesh Agrawal

Roberto Javier Bayardo

Vivek Raghunathan

Ramanathan V Guha

Andrew M Dai

Kiran S Panesar

Pablo Bellver

Vineet Gupta

Aparna Chennapragada

Amay Nitin Champaneria

Yiming Ma

Frederick Peter Brewin

Mahesh Keralapura Manjunatha

Carolyn F Au

Karthik Lakshminarayanan

Carl Lischeske

Ravi Kolluri

Ralf Rantzau

Alexandre Valentinovich Evfimievski

Zhen Liu

Anton Viktorovich Riabov

Grant W Wagner

Angela Marie Schuett

Pankaj Rohatgi

Gerald George Kiernan

Ching-Tien Ho

Weifeng Chen

Brian Scott Lent

Nimrod Megiddo

Anshul Kothari

Genady Grabarnik

Nagui Halim

Andreas Arning

Roland Seiffert

Mark David Feblowitz

Abhishek Bapna

Aranyak Mehta

Shivakumar Venkataraman

John Christopher Shafer

Kyuseok Shim

Kay Schwendimann Anderson

Adam Isaac Juda

Christos Faloutsos

Dimitrios Gunopulos

Sunita Sarawagi

Yirong Xu

Quoc Vu

Alexandre V Evfunievski

Yinghui Yang

Nagbhushan Veerapaneni

Methods and apparatus for providing travel-related information for a location to a user based on activity indications of the user that are related to the location. The location may be determined based on a set of one or more related activity indications and a travel-related score may be determined for the location that is indicative of likelihood that the user has interest in travelling to the location. The user may be provided the travel-related information for the location based on the travel-related score.

Automatic continued search

Methods, systems, and apparatus, including computer program products, in which participation probabilities for content items in content item selection processes are adjusted based upon predicted performance measures. The predicted performance measures can be compared to one or more other predicted performance measures and/or threshold/scaling data to determine how to adjust the participation probability of the content item in the content item selection process.

Adjusting participation of content in a selection process

Pairs of similar objects in a population of objects can be found using a process that includes identifying a comparison vector x in a set of vectors having non-zero features, determining an estimated similarity contribution of a subset of features of the comparison vector x to a similarity between the comparison vector x and each vector in the set of vectors, generating an index that includes features based on a comparison of the similarity contribution with a similarity threshold, and identifying another vector in the set that is similar to the vector x using the index.

Similarity-based searching

System and methods are provided for managing and mitigating privacy risks in a system having a network of processing elements. According to one method, there is receive a request for at least one output product from the system. The request includes a set of privacy parameters. At least one set of workflow generating strategies are created that results in the output product having a privacy risk value below a predefined threshold. At least one of the workflow generating strategies is deployed for automatically producing the at least one output product.

Mitigating and managing privacy risks using planning

A system, method, and computer program product for processing a query spanning separate databases while revealing only minimal information beyond a query answer, by executing only specific information-limiting protocols according to query type.

Information integration across autonomous enterprises

Pairs of similar vectors in a set of vectors are identified. A comparison vector x is identified, and a set of candidate vectors corresponding to the vector x is identified. For each candidate vector y in the set, a similarity estimate between the comparison vector x and the candidate vector y is determined; if the similarity estimate meets a similarity threshold, a similarity score of the comparison vector x and the candidate vector y is determined; and if the similarity score meets the similarity threshold, the pair of vectors (x, y) is included in a list of similar pairs of vectors.

A method for protecting information in a distributed stream processing system, including: assigning a principal label to a processing component; assigning a first channel label to a first communication channel that is input to the processing component; comparing the principal label to the first channel label to determine if the processing component can read data attributes of the first channel label; and reading the data attributes of the first channel label when the principal label is equal to or has precedence over the first channel label, wherein the principal label includes a read label and a write label and at least one of a selection label, an addition label or a suppression label.

Access control method and a system for privacy protection

Pairs of similar vectors (or objects) in a set of vectors (or objects) are identified. A comparison vector x in a set of vectors is identified; a size threshold is determined such that if a similarity between the vector x and a vector y in the set of vectors is equal to or greater than a similarity threshold, then the vector y has a size at least equal to the size threshold, the size of the candidate vector y being determined based on a number of non-zero features in the vector y. A vector having a size less than the size threshold is removed from the set of candidate vectors.

Growing community of inventors

San Jose, CA, United States of America

Ramakrishnan Srikant