NDLI: Standing Out in a Crowd: Selecting Attributes for Maximum Visibility

Content Provider	IEEE Xplore Digital Library
Author	Miah, M. Das, G. Hristidis, V. Mannila, H.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of Texas at Arlington, Arlington, TX (Miah, M.; Das, G.)
Abstract	In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in databases (e.g., buyers searching for products in a catalog). In this paper we focus on a novel and complementary problem: how to guide a seller in selecting the best attributes of a new tuple (e.g., new product) to highlight such that it stands out in the crowd of existing competitive products and is widely visible to the pool of potential buyers. We develop several interesting formulations of this problem. Although these problems are NP-complete, we can give several exact algorithms as well as approximation heuristics that work well in practice. Our exact algorithms are based on integer programming (IP) formulations of the problems, as well as on adaptations of maximal frequent itemset mining algorithms, while our approximation algorithms are based on greedy heuristics. We conduct a performance study illustrating the benefits of our methods on real as well as synthetic data.
Starting Page	356
Ending Page	365
File Size	2435037
Page Count	10
File Format	PDF
ISBN	9781424418367
DOI	10.1109/ICDE.2008.4497444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-07
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relational databases Information retrieval Approximation algorithms New products catalog Linear programming Itemsets Data mining Automobile manufacture Algorithm design and analysis Manufacturing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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