Scribd, Inc.

Matthew Allen Strong Ross

Monique Alves Cruz

Prabhdeep Singh Cheema

Hima Kiran Alladi

Albert Jimenez Sanfiz

Azadeh Haji Hosseini

Various embodiments of a Title Engine generate search results that identify content available in a content corpus in response to receiving a search query for content that is currently unavailable in the content corpus. Rather than returning output merely indicating absence of the requested content set forth in the received search query, the Title Engine identifies various content available in the content corpus that is similar to the search query's requested—but unavailable—content. The Title Engine identifies content in a content corpus that is similar to requested content that has been determined as unavailable. Upon determining unavailability of the requested particular content in the content corpus, the Title Engine generates a pseudo-identifier for the requested particular content. The Title Engine inserts the pseudo-identifier into a sequence of content identifiers. The Title Engine generates an embedding for the pseudo-identifier.

Search results for pseudo-content

Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Topic Engine. The Topic Engine captures a plurality of content identifier sequences. Each respective sequence represents an order at which a corresponding user account accessed content. The Topic Engine generates a plurality of clusters. Each cluster is associated with respective content identifiers appearing within a proximity to each other across the plurality of content identifier sequences of different user accounts. The Topic Engine obtains one or more sample content identifiers from at least one cluster via sampling the cluster. The Topic Engine extracts keywords from content represented by the one or more sampled content identifiers. The Topic Engine identifies a topic for the cluster based on the one or more extracted keywords.

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Toronto, Canada

Matthew Allen Strong Ross