Abstract
Currently, most web search engines perform search on nearly a whole copy of the web corpus. There are also tools to add search functionality to a single site. Nonetheless, there is little research into search related to online communities: set of related websites or weblogs. To fill this gap, a peer-to-peer search engine is presented in this paper. This p2p search engine is designed to provide small- and middle-scale online communities such as blog sites and news sites the ability to perform text search within the community. It organizes nodes on a Distributed Hash Table (DHT) based peer-to-peer network. Communities are formed in a self-organizing style. P2P IR systems may cause increased internal traffic among nodes in answering a multi-term query. In this paper, we focused on this issue and proposed several techniques to optimize the multi-term query process in a P2P framework. Our proposed algorithms are evaluated by simulation. The simulation results show that our proposed algorithms have good scalability and can improve performance of the system by about two orders of magnitude in the best case.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
