Google Inc.

Luca De Alfaro

Ashutosh Kulshreshtha

Nicu Daniel Cornea

Mitchell Slep

Andrew Stephen Tomkins

Andre Rohe

Todd Christopher Jackson

Sangsoo Sung

Dandapani Sivakumar

Andrew Ames Bunner

Sowmya Subramanian

Justin Lewis Kosslyn

Ethan G Russell

Ya Luo

Sasha Sobol

Alexander Sobol

Radu Jurca

Charles DuHadway

A system and method for updating and correcting facts that receives proposed values for facts from users and determines a correctness score which is used to automatically accept or reject the proposed values.

Moderation of user-generated content

A system and method for generating a stream of content includes a content stream module that generates a model based on user input and/or prior activities using heterogeneous data sources. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. The content stream module retrieves candidate content items that have interests that are similar to the user. The candidate content items are compared to the model and scored based upon interestingness of the content item to the user. The content stream module generates the stream of content from the candidate content items.

Scoring stream items with models based on user interests

A system and method for generating a real-time stream of content from heterogeneous data sources and a real-time index. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. A fetching unit retrieves recent content that is indexed in the real-time index according to keywords. A model generation engine generates a model based on user activities. The mixer compares candidate content items from the heterogeneous data sources and the real-time index to the model to generate scores for each item and generates a stream of content based on the scores.

Scoring stream items in real time

A system and method for managing online map information determines map records that represent more than one map feature by identifying map feature records where at least one attribute of the map feature record has more than value wherein each of the values has a probability of being correct that exceeds a threshold.

Identification of over-clustered map features

A system and method for updating and correcting facts that receives proposed values for facts from users and determines a probability that the user providing the values provides unreliable information.

Identifying unreliable contributors of user-generated content

A system and method for updating and correcting facts that receives proposed values for facts from users and determines a consensus value for the fact based on a distribution of the probabilities that the proposed values are the correct value for the fact wherein the probability that the proposed value is the correct value for the fact is based on a score indicative of the probability that the user proposing the value proposes accurate values.

Crowdsensus: deriving consensus information from statements made by a crowd of users

A ranking system is described for adjusting quality distributions of items responsive to pairwise comparisons. The pairwise comparisons are selected for a user providing a preference between the items in the pairwise comparisons. The selection is determined based on the cost of an error in the rankings of items in combination with the likelihood there is an error in the item rankings. On receiving the comparison result from the user, the quality distributions are updated and can include a confidence modifier to determine the confidence the user's preference is reflective of the actual preference between the items.

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Mountain View, CA, United States of America

Luca De Alfaro