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Relevance models to help estimate document and query parameters
A central idea of Language Models is that documents (and perhaps queries) are random variables, generated by data-generating functions that are characterized by document (query) parameters. The key new idea of this paper is to model that a relevance...
Efficient mining of both positive and negative association rules
Xindong Wu, Chengqi Zhang, Shichao Zhang
This paper presents an efficient method for mining both positive and negative association rules in databases. The method extends traditional associations to include association rules of forms A ⇒ ¬ B, ¬ A ⇒...
Trustworthy 100-year digital objects: Evidence after every witness is dead
Henry M. Gladney
In ancient times, wax seals impressed with signet rings were affixed to documents as evidence of their authenticity. A digital counterpart is a message authentication code fixed firmly to each important document. If a digital object is sealed...
PocketLens: Toward a personal recommender system
Bradley N. Miller, Joseph A. Konstan, John Riedl
Recommender systems using collaborative filtering are a popular technique for reducing information overload and finding products to purchase. One limitation of current recommenders is that they are not portable. They can only run on large computers...
Distributed content-based visual information retrieval system on peer-to-peer networks
Irwin King, Cheuk Hang Ng, Ka Cheung Sia
With the recent advances of distributed computing, the limitation of information retrieval from a centralized image collection can be removed by allowing distributed image data sources to interact with each other for data storage sharing and...