AUTOMATICALLY SELECTING AND DOWNLOADING A NEXT-READ EBOOK TO AN ELECTRONIC READING DEVICE
A method and system for automatically selecting and downloading a next-read electronic book (eBook) to an electronic reading device is disclosed. One example determines a current eBook being accessed by a user on the electronic reading device. Prior to the user finishing the current eBook, an e-library is accessed and a next-read eBook is automatically selected and downloaded based on an aspect of the current eBook. In addition, the next-read eBook is automatically provided to the user when the user finishes reading the current eBook. When a predefined next-read eBook use metric has been met, the electronic reading device automatically provides payment to purchase the next-read eBook.
1 . A computer implemented method for automatically selecting and downloading a next-read electronic book (eBook) to an electronic reading device, said method comprising:
accessing an e-library prior to the user finishing a current eBook on the electronic reading device;
automatically selecting and downloading a next-read eBook from the e-library based on an aspect of the current eBook; and
automatically providing the next-read eBook to the user when the user finishes reading the current eBook; and
automatically providing payment to purchase the next-read eBook when a predefined next-read eBook use metric has been met.
2 . The method of claim 1 further comprising:
automatically downloading the next-read eBook from the e-library in a cloud repository to a local storage of the electronic reading device.
3 . The method of claim 1 further comprising:
selecting the next-read eBook based on an author of the current eBook.
4 . The method of claim 1 further comprising:
selecting the next-read eBook based on a character in the current eBook.
5 . The method of claim 1 further comprising:
selecting the next-read eBook based on a sequential relationship between the current eBook and the next-read eBook.
6 . The method of claim 1 further comprising:
utilizing a recommendation engine for selecting the next-read eBook based on recommendations associated with the current eBook.
7 . The method of claim 1 further comprising:
utilizing a number of pages read as the predefined next-read eBook use metric.
8 . The method of claim 1 further comprising:
utilizing an amount of time since the next-read eBook has been accessed as the predefined next-read eBook use metric.
9 . An automatic next-read eBook provider system comprising:
a progress tracker to track a user's reading progress of the current eBook accessed on an electronic reader (eReader);
a next-read search module to search for a next-read eBook based on an aspect of the current eBook and download the next-read eBook to the eReader prior to the user's reading progress showing a completing of the current eBook;
a next-read eBook presentation module to automatically present the next-read eBook when the user's reading progress shows completion of the current eBook and to purchase the next-read eBook when a predefined next-read eBook use metric has been met.
10 . The system of claim 9 wherein the next-read search module automatically downloads the next-read eBook from an e-library in a cloud repository to a local storage of the eReader.
11 . The system of claim 9 wherein the aspect of the current eBook is selected from the group consisting of: an author of the current eBook, a character in the current eBook, and a sequential relationship between the current eBook and the next-read eBook.
12 . The system of claim 9 wherein the a next-read eBook presentation module automatically presents the next-read eBook based on a time-to-completion determination based on an amount of text rendered on a last page of the current eBook and the user's reading progress for the amount of text rendered.
13 . The system of claim 9 wherein the next-read search module utilizes a recommendation engine to select the next-read eBook based on recommendations associated with the current eBook.
14 . The system of claim 9 wherein the predefined next-read eBook use metric measures a number of pages read.
15 . The system of claim 9 wherein the predefined next-read eBook use metric measures an amount of time since the next-read eBook has been accessed.
16 . A computer implemented method for automatically loading a next-read electronic book (eBook) to an electronic reader (eReader), said method comprising:
monitoring a user's reading progress through a current eBook to determine when the user will finish reading the current eBook;
prior to the user finishing the current eBook, the method further comprises:
accessing an e-library in a cloud repository;
automatically selecting a next-read eBook to download based on an aspect of the current eBook; and
automatically downloading the next-read eBook from the e-library in the cloud repository to a local storage of the eReader prior to the user finishing the current eBook;
providing the next-read eBook to the user when the user finishes reading the current eBook; and
automatically providing, from the electronic reading device to the e-library, an authorization to purchase the next-read eBook when a predefined next-read eBook use metric has been met.
17 . The method of claim 16 wherein the selecting of the next-read eBook is based the aspect of the current eBook selected from the group consisting of: an author of the current eBook and a character in the current eBook.
18 . The method of claim 16 further comprising:
selecting the next-read eBook based on a sequential relationship between the current eBook and the next-read eBook.
19 . The method of claim 16 further comprising:
utilizing a recommendation engine for selecting the next-read eBook based on recommendations associated with the current eBook.
20 . The method of claim 16 wherein the predefined next-read eBook use metric is selected from the group consisting of: a number of pages read and an amount of time since the next-read eBook has been opened.