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Keyword-based content alert services, e.g., Google Alerts and Microsoft Live Alerts, empower the end users with the ability to automatically receive useful and most recent content. In this paper, we leverage the favorable properties of DHTs, such as scalability, and propose a design of a scalable keyword-based content
As a revival paradigm for information sharing among distributed nodes in the network, P2P technology can pave the way for decentralized computing and enable more robust e-business applications. Peer-to-peer system is a continuously evolving system consisting of multiple heterogeneous information sources, and a huge
implement an indexing infrastructure supporting range queries on top of Distributed Hash Tables. The algorithm supports hierarchical keywords, and is especially designed for situations where a few keywords are very common while others are very uncommon. The design of our algorithm perfectly matches the requirements found in a
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.