Book Discovery


Version: 1.7.7
Size:
1.09MB
Requirements:
Firefox 3.0 or higher
Price:
Free
System:
Windows 7/Vista/XP
Rating:
4.8
License:
Freeware

Description - Book Discovery



Book Discovery recommends books based on web sites you`ve been browsing in the Internet. Once books are discovered, you will be given opportunity to view book details, such as bindings, versions, and promotions, through Amazon.com. This add-on consumes little resources of user computer, because most of the heavy-lifting Algorithm is done on Google`s cloud computing platform. Book Discovery is designed to be the least intrusive. A heuristic logic is in place to prevent book recommendation from disrupting user`s normal web browsing activity. Book Discovery will make the recommendation only when it`s confident to do so. You can always override the default logic and explicitly Ask Book Discovery to recommend book for current web page. Simply click the logo button around upper left corner of your browser`s navigation bar (usually beside browser`s `home` button). Discovered books will show up shortly. You are given full control on how discovered books are presented. In `Options" menu which appears every time on discovered book notification Box, you can choose to rank results by books` publishing date, or review rating; you can choose to see books that are open to pre-order; you can fine tune the frequency of discovery, etc. Book Discovery fully respects and takes great efforts to protect user privacy. No user generated data, identity, or other personal, or sensitive information is collected, stored, or involved in Book Discovery`s book discovery algorithm. Our add-on source codes go through Mozilla review process. Our goal is to help you discover book you are not aware of. Therefore, Book Discovery is ...- NOT a Book Search engine. If you have specific keyword in mind, you are better off to use generic search engine or search function in book stores.- NOT a price comparison service. We understand importance of a good deal under current economic times, but we focus on discovery and recommendation.

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