Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Information acquisition is a great challenge in the context of a continually growing b. Nowadays, large b search engines are primarily designed to assist an information pull by the user. On this platform, only actual information needs are handled without assistance of long-term needs. To overcome these shortcomings  propose a cooperative system for information pull and push on a peer-to-peer architecture.  present a hybrid network for a collaborative search environment, based on a local personalization strategy on each peer, and a highly-available b search service (e.g. Google). Each peer participates in the pull-push cycle, and has the function of an information consumer as ll as an information provider. Hence, long-term information needs can be identified without any context restrictions, and recommendations are computed based on virtual knowledge communities.
['Melanie Gnasa', 'Sascha Alda', 'Nadir Gül', 'Jasmin Grigull', 'Armin B. Cremers']
I am writing a research paper on a idea Cooperative pull-push cycle for searching a hybrid P2P network
[{"from": "human", "value": "I am writing a research paper on a idea Cooperative pull-push cycle for searching a hybrid P2P network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Information acquisition is a great challenge in the context of a continually growing b. Nowadays, large b search engines are primarily designed to assist an information pull by the user. On this platform, only actual information needs are handled without assistance of long-term needs. To overcome these shortcomings  propose a cooperative system for information pull and push on a peer-to-peer architecture.  present a hybrid network for a collaborative search environment, based on a local personalization strategy on each peer, and a highly-available b search service (e.g. Google). Each peer participates in the pull-push cycle, and has the function of an information consumer as ll as an information provider. Hence, long-term information needs can be identified without any context restrictions, and recommendations are computed based on virtual knowledge communities."}]