Abstract: 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.

Abstract: 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.

Abstract: Various embodiments of an apparatus, method(s), system(s) and a computer program product(s) described herein are directed to a Offer Engine. The Offer Engine extracts one or more features from data associated with a first user requesting access to a portion of content of a content corpus. The Offer Engine feeds at least one of the features of the first user into a decision tree. The decision tree has multiple levels, wherein at least one level comprises a plurality of leaves and each respective leaf implements at least one machine learning model. The Offer Engine determines whether to provide the first user with a subscription fee offer first option or a non-subscription fee offer second option based at least in part on output of the decision tree.

Abstract: 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.

Abstract: Various embodiments of an apparatus, method(s), system(s) and a computer program product(s) described herein are directed to a Offer Engine. The Offer Engine extracts one or more features from data associated with a first user requesting access to a portion of content of a content corpus. The Offer Engine feeds at least one of the features of the first user into a decision tree. The decision tree has multiple levels, wherein at least one level comprises a plurality of leaves and each respective leaf implements at least one machine learning model. The Offer Engine determines whether to provide the first user with a subscription fee offer first option or a non-subscription fee offer second option based at least in part on output of the decision tree.

Abstract: In various embodiments of the present invention, documents (eg, PDFs) are converted into HTML 5 (and CSS 3) formats and integrated into existing HTML 5 web pages to preserve the original embedded fonts. The fonts can also be integrated or embedded (e.g., via the standard HTML “iframe” tag) into other web pages. The original appearance of the source document is maintained, the text is preserved as searchable text, and the document is integrated into a web page that can be searched, zoomed, scrolled, and printed utilizing standard web browser controls. A significantly increased “ad inventory” is thereby enabled, wherein advertisements can be integrated between pages, or even within a page. Moreover, the resulting document can be passively shared with members of a user's external social networks (including those within the host website), along with other activities and behaviors performed by the user on the hosting website.

Abstract: In various embodiments of the present invention, documents (eg, PDFs) are converted into HTML 5 (and CSS 3) formats and integrated into existing HTML 5 web pages to preserve the original embedded fonts. The fonts can also be integrated or embedded (e.g., via the standard HTML “iframe” tag) into other web pages. The original appearance of the source document is maintained, the text is preserved as searchable text, and the document is integrated into a web page that can be searched, zoomed, scrolled, and printed utilizing standard web browser controls. A significantly increased “ad inventory” is thereby enabled, wherein advertisements can be integrated between pages, or even within a page. Moreover, the resulting document can be passively shared with members of a user's external social networks (including those within the host website), along with other activities and behaviors performed by the user on the hosting website.

Abstract: In various embodiments of the present invention, documents (eg, PDFs) are converted into HTML 5 (and CSS 3) formats and integrated into existing HTML 5 web pages to preserve the original embedded fonts. The fonts can also be integrated or embedded (e.g., via the standard HTML “iframe” tag) into other web pages. The original appearance of the source document is maintained, the text is preserved as searchable text, and the document is integrated into a web page that can be searched, zoomed, scrolled, and printed utilizing standard web browser controls. A significantly increased “ad inventory” is thereby enabled, wherein advertisements can be integrated between pages, or even within a page. Moreover, the resulting document can be passively shared with members of a user's external social networks (including those within the host website), along with other activities and behaviors performed by the user on the hosting website.

Abstract: In various embodiments of the present invention, documents (such as PDF documents) are converted into HTML 5 (and CSS 3) formats and integrated into existing HTML 5 web pages in a manner that preserves the original fonts embedded within the documents. The fonts can also be integrated or embedded (e.g., via the standard HTML “iframe” tag) into other web pages. The original appearance of the source document is maintained, the text is preserved as searchable text, and the document is integrated into a web page that can be searched, zoomed, scrolled, printed, etc., utilizing standard web browser controls. As a result, a significantly increased “ad inventory” is enabled, wherein advertisements can be integrated between the individual pages (or even within a page) of the document.