Abstract: Context-based timelines can be generated for an item in an electronic catalog by extracting contextual terms and item events corresponding to the item. The contextual terms can be used to retrieve historical data on historical events from a data repository. The historical data can be associated with at least some of the contextual terms. A context-based timeline can be generated that includes at least some of the historical events. The context-based timeline can be output for presentation to one or more users.

Abstract: Named entity recognition is applied to identify text strings corresponding to character identities in a written work. The textual strings are grouped according to character identity and, from each group, a primary name is selected. A significance is calculated for each of the character identities. The character identities including the primary names are presented in a catalog based on the calculated significance. In some embodiments, character identity identification results are refined by allowing users to vote regarding the significance of the character identities and by granting more weight to the votes of users with a close relationship to the written 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: Digital items may be lent from one user to another. A lending system may facilitate matching users that have a digital item to lend with users that wish to borrow a digital item. Each user may have a reputation associated with his or her lending behavior that is represented as a lending metric. The lending metric may show whether a given user is primarily a lender or borrower of digital items. Heavy borrowers that do not engage in commensurate lending may be penalized. Multiple users that lend and borrow digital items from one another may be connected in a social network. The nature of a relationship in the social network may and the lending metrics of users are factors used to make lending decisions.

Abstract: Digital items may be lent from one user to another. A lending system may facilitate matching users that have a digital item to lend with users that wish to borrow a digital item. Each user may have a reputation associated with his or her lending behavior that is represented as a lending metric. The lending metric may show whether a given user is primarily a lender or borrower of digital items. Heavy borrowers that do not engage in commensurate lending may be penalized. Multiple users that lend and borrow digital items from one another may be connected in a social network. The nature of a relationship in the social network may and the lending metrics of users are factors used to make lending decisions.

Abstract: Digital items may be lent from one user to another. A lending system may facilitate matching users that have a digital item to lend with users that wish to borrow a digital item. Each user may have a reputation associated with his or her lending behavior that is represented as a lending metric. The lending metric may show whether a given user is primarily a lender or borrower of digital items. Heavy borrowers that do not engage in commensurate lending may be penalized. Multiple users that lend and borrow digital items from one another may be connected in a social network. The nature of a relationship in the social network may and the lending metrics of users are factors used to make lending decisions.

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.

Abstract: A method is provided for presenting a written work. A character identity is recognized within a written work. Presentation information for the written work, such as a graphical scheme or an electronic voice, is determined based on the character identity. The presentation information is provided to a user computing device. The user computing device renders the written work or a portion thereof using the presentation information.