Of Interest

Abstract

“Building on a Common Numbering System” by Andree Lenoir and Andrew Hinchley. EDI World (2021 Coolidge St., Hollywood FL 33020-2400), December 1995, pp. 34–36.     

Of Interest

Abstract

Body of Secrets: Anatomy of the Ultra Secret [U.S.] National Security Agency from the Cold War through the Dawn of a New Century, by James Bamford. Doubleday (1540 Broadway, New York, NY 10036) 2001; 721 pp.; Price: $29.95 in the United States; $44.95 Canadian; elsewhere enquire and verify shipping charges;include U.S. funds with order.     

Of Interest

Abstract

Risk Assessment: Internal Audit Tool Kit, by Laurie Ganong Jones, Jr. The Institute of Internal Auditors (249 Maitland Ave, Altamonte Springs FL 32701-4201), 1990, 45 pp; diskette. Price: $125 in US funds; shipping charges additional for shipments outside the US; discount to IIA members.

Information Security Guide 1990–91, Jack Smith, ed. IBC Business Publishing (Holford News, Cruikshank St, London WC1X 9HD, United Kingdom) 1991, 208 pp. Price: £85, in the UK; £95, elsewhere.

The Complete Virus Protection Handbook, by Colin Haynes. SYBEX Inc (2021 Challenger Dr, #100, Alameda CA 94501), 1991, 192 pp; diskette. Price: $24.95 in the US; inquire about the price for orders shipped outside of the US.

Disaster Recovery For Banks: A Comprehensive Program For Today's Regulatory Climate, by Geoffrey Wold and Robert Shriver. The Bank Administration Institute (Probus Publications, 1925 North Clybourne Ave, Chicago IL 60614), 1988, 151 pp. Price: $59 in US funds; plus shipping charges on orders outside of the US; discount to BAI members.     

Of Interest

Abstract

COMPUTER AUDITING, by Andrew D. Chambers. Commerce Clearing House, Inc., Chicago. 1981; 237 pages including index; $22.50. Reviewed by Robert V. Boos.     

基于混合行为兴趣度的用户兴趣模型

用户兴趣模型是个性化推荐技术的基础与核心,针对现有用户兴趣模型在模型建立阶段用户兴趣评价的不足,提出了一种基于混合行为评价兴趣度值的方法,突出了用户阅读时间的特殊性,在用户阅读时间异常的情况下利用其它浏览行为来量化用户兴趣度,并结合用户的浏览内容提出了用户兴趣模型的表示和更新机制,从而建立用户兴趣模型。实验验证了兴趣度度量方法的有效性,将测试结果与K-Means聚类模型进行比较,该模型的推荐准确度有明显提高。     

一个面向新兴趣点发现的模糊兴趣挖掘算法

本文在分析现有个性化推荐算法的基础之上,针对其难以发现新的用户兴趣点的不足,提出了一种面向新兴趣点发现的协作算法,建立了包括新兴趣点的多商品模糊兴趣模型。实验表明,该模型比现有模型更优。