Lithium Technologies, Inc.

Zendesk, Inc.

Keibi Technologies, Inc.

Pierre Grenier

Eddie Lo

Satinderpal Sandhu

Stefan Will

Aggregate scoring is used to help classify digital content such as content uploaded to multi-user websites (e.g., social networking websites). In one embodiment, specific categories are used that relate to a social implication of content. For example, text, images, audio or other data formats can provide communication perceived to fall into categories such as violent, abusive, rights management, pornographic or other types of communication. The categories are used to provide a raw score to items in various groupings of a site's content. Where items are related to other items such as by organizational, social, legal, data-driven, design methods, or by other principles or definitions, the related items' raw scores are aggregated to achieve a score for a particular grouping of items that reflects, at least in part, scores from two or more of the related items.

Classification of digital content using aggregate scoring by a grid load balancer configured to assign content to different content analysis engines based on content identifications of a semantics processor

A technique including receiving a search query; identifying a first original query term based on the query; identifying a first expanded query term related to the first original query term; determining a first lexical distance between the first original query term and the first expanded query term; determining a first weight for the first expanded query term based on the determined first lexical distance; identifying a plurality of documents, from among a corpus of documents, as each relevant to the search query, the plurality of documents including a first document identified based on its inclusion of the first expanded query term; ranking the plurality of documents, with the ranking of the first document being based upon the calculated first weight; and generating a response to the search query identifying two or more of the plurality of documents, ordered according to the ranking.

Weight-based stemming for improving search quality

Classification of digital content by using aggregate scoring

Growing community of inventors

San Francisco, CA, United States of America

Pierre Grenier