Abstract: Techniques for use with electronic book readers include coordinating or translating position information between different versions of an electronic book. Positions within different versions can be translated for various purposes, such as transferring annotations between versions or synchronizing positions within different versions.

Abstract: In some implementations, a device displays supplemental information in connection with a digital work. The supplemental information may include a visual representation that represents one or more occurrences of an object in the digital work. The visual representation may include an area representative of an expanse of the digital work. At least one marking is located in the area in correlation to a location of an occurrence of the object in the digital work. In some examples, the visual representation may include a plurality of markings representing multiple occurrences of the object in the digital work, with a first or leftmost marking positioned in the area in proportion to a first occurrence of the object in the digital work. A second or rightmost marking may be positioned in the area in proportion to a final occurrence of the object in the digital work.

Abstract: Techniques are described for identifying book title sets. The techniques may include a first-pass comparison with other books to identify other candidate title sets. A second-pass comparison may then be performed with respect to the candidate title sets. The first-pass comparison may be based on book metadata such as titles and authorship. The second-pass comparison may include a more comprehensive content comparison, such as comparing the body text of the books.

Abstract: Techniques for use with electronic book readers include coordinating or translating position information between different versions of an electronic book. Positions within different versions can be translated for various purposes, such as transferring annotations between versions or synchronizing positions within different versions.

Abstract: Digital content such as eBook may have several sections such as front matter, body matter, back matter, and so forth. To aid in the use of the content, it is worthwhile to find an end-of-body matter or other section breaks. As described herein, these sections may be determined by looking for keywords, specific formatting, manual intervention, last position read, and so forth. Once determined, tags may be generated which designate boundaries of these sections. These tags may then be used during consumption of the content.

Abstract: In some implementations, a digital work may include a plurality of objects that may be selected to view supplemental information. A supplemental information user interface may include a listing of objects from the digital work. For instance, the listing may include a selected object appearing at an identified location in the digital work. The user interface may further present a visual representation displayed with each object that provides an indication of at least one location of at least one occurrence of the corresponding object in the digital work. In some examples, a user may navigate between a supplemental information view user interface, a page view user interface, a chapter view user interface, a book view user interface, a series view user interface, and/or a library view user interface to view occurrences of a particular object in the digital work or other digital works.

Abstract: In some implementations, a device displays a user interface that provides supplemental information in connection with a digital work. For example, the supplemental information may include a listing of objects identified in the digital work. Further, a visual representation may be displayed with each listed object. The visual representation for each listed object may provide a representation of at least one location of at least one occurrence of the object in the digital work. The objects may be displayed according to a supplemental information view, a page view, a chapter view, a book view, a series view, a library view, or the like. Additionally, one or more object buttons may be displayed concurrently with the listing of objects. The object buttons may correspond to the types of objects displayed, and may be selected to limit the displayed objects to a particular type.

Abstract: Highlights from a community of users highlighting portions of an electronic digital content are analyzed and popular highlights determined. The popular highlights are then distributed to the users.

Abstract: Highlights from a community of users highlighting portions of an electronic digital work may produce aggregated highlights. Users may have access to public and purchase versions of the aggregated highlights. Reconciliation of highlights across multiple versions of the same digital work may also take place, with the reconciled highlights incorporated into the aggregated highlights.

Abstract: Techniques for aligning content items with one another are described herein. These techniques may align different versions of a same content item for the purpose of identifying differences between the versions, identifying commonalities between the versions, mapping annotations made in one version to the other version, aggregating annotations across the different versions, or for any other reason. The content items may include electronic books, songs, videos, documents, or the like.

Abstract: Techniques for ranking electronic content items include analyzing annotations made in the content items. Specifically, the number of annotations and the number of people making the annotations can be analyzed to produce a popularity ranking of different content items.

Abstract: In some implementations, a digital work provider provides a digital work and supplemental information related to the digital work for delivery to an electronic device. For example, the digital work provider may parse a digital work to identify objects in the digital work. The digital work provider may generate supplemental information for the digital work based on the objects. For example, the supplemental information may include an index identifying locations of occurrences of the objects identified in the digital work. The supplemental information may further include prestored content related to one or more of the objects. For instance, the digital work provider may obtain the prestored content from one or more authoritative network resources. The electronic device may display the supplemental information in response to a user selection of an object in the digital work during display of the digital work.

Abstract: Techniques for use with an electronic book reader include receiving localized evaluative feedback from users, pertaining to different locations within electronic content. The localized feedback is collected at a server and reported to content creators in reports that are formatted to indicate characteristics of the feedback at different locations within the electronic content.

Abstract: In some implementations, a device displays supplemental information in connection with a digital work. The supplemental information may include a visual representation that represents one or more occurrences of an object in the digital work. The visual representation may include an area representative of an expanse of the digital work. At least one marking is located in the area in correlation to a location of an occurrence of the object in the digital work. In some examples, the visual representation may include a plurality of markings representing multiple occurrences of the object in the digital work, with a first or leftmost marking positioned in the area in proportion to a first occurrence of the object in the digital work. A second or rightmost marking may be positioned in the area in proportion to a final occurrence of the object in the digital work.

Abstract: Similarities are discovered among different users with respect to their media experiences and other behaviors, such as taste in media items (e.g., books, music, movies, magazines, art, etc.), browsing behavior, purchase decisions, and online shopping habits, and usage history. The similarities are determined in part by substantially real-time comparison of individual users with a set of predetermined user-based clusters formed from the experiences and behaviors of sample users. Users from a population may then be identified based on similarity metrics. Recommendations for new media items, or other goods/services, may also be made based on choices being made by similar users.

Abstract: A meaning of a term is determined using the contents of a corpus of books through use of metadata about the books within the corpus, terms in the same work which provide context, and so forth. Users may query to determine the meaning of a term. Users may also build vocabulary skills by testing as well. A changing meaning of a term over time may be determined and utilized as well. Searches are facilitated by the enhanced ability to determine meaning of the terms, particularly in context. Feedback from the searches may also be used to refine future searches.