Patent
Notification service for assisting users in selecting items from an electronic catalog
TLDR
In this article, a Web-based system provides informational services for assisting customers in selecting products or other types of items from an electronic catalog of a merchant using purchase history data collected for online users, the system automatically identifies and generates lists of the most popular items (and/or items that are becoming popular) within particular communities, and makes such information available to users for viewing.Abstract:
A Web based system provides informational services for assisting customers in selecting products or other types of items from an electronic catalog of a merchant. Users of the system can create and join user communities, such as communities based on user hobbies, localities, professions, and organizations. The system also supports implicit membership communities that are based on email addresses (e.g., all users having a “nasa.com” email address), shipping/billing addresses, and other known user information. Using purchase history data collected for online users, the system automatically identifies and generates lists of the most popular items (and/or items that are becoming popular) within particular communities, and makes such information available to users for viewing. For example, in the context of an online book store users of the nasa.com community may automatically be presented a Web page which lists the bestselling book titles among nasa.com users, or may be sent email notifications of purchase events or hotselling books within the community. Another feature involves automatically notifying users interested in particular products of other users (preferably other members of the same community) that have purchased the same or similar products. For example, in one embodiment, when a user accesses a book detail page, the detail page is customized to include the names and email addresses of other members of the user's community that recently purchased the same book.read more
Citations
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References
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Proceedings ArticleDOI
Social information filtering: algorithms for automating “word of mouth”
Upendra Shardanand,Pattie Maes +1 more
TL;DR: The implementation of a networked system called Ringo, which makes personalized recommendations for music albums and artists, and four different algorithms for making recommendations by using social information filtering were tested and compared.
Journal ArticleDOI
Fab: content-based, collaborative recommendation
Marko Balabanovic,Yoav Shoham +1 more
TL;DR: It is explained how a hybrid system can incorporate the advantages of both methods while inheriting the disadvantages of neither, and how the particular design of the Fab architecture brings two additional benefits.
Journal ArticleDOI
GroupLens: applying collaborative filtering to Usenet news
Joseph A. Konstan,Bradley N. Miller,David A. Maltz,Jonathan L. Herlocker,Lee R. Gordon,John Riedl +5 more
TL;DR: The combination of high volume and personal taste made Usenet news a promising candidate for collaborative filtering and the potential predictive utility for Usenets news was very high.
Book
Database System Concepts
TL;DR: This acclaimed revision of a classic database systems text provides the latest information combined with real-world examples to help readers master concepts in a technically complete yet easy-to-understand style.
Patent
System and method for providing customized electronic newspapers and target advertisements
TL;DR: In this article, the authors proposed a system that automatically constructs a target profile for each target object in the electronic media based on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a "target profile interest summary" for each user, which describes the user's interest level in various types of target objects.