In unstructured P2P networks, how to rapidly and precisely locate user required resources is currently a hot issue, and is also one of core problems faced by P2P application fields. Related unstructured P2P resources location algorithms can not be optimized at the same time in respect to precision ratio, recall ration and query costs, which can cause serious network bandwidth burden and huge index maintenance costs. To address the problem, this paper proposes a query strategy called user requirement resource location strategy (U2RLS). The innovation of this strategy is to integrate user requirements, user preferences and user interest based on the original unstructured P2P network resources location flooding algorithm. The strategy subnets the user resources, and adopts the flooding mechanism and query index mechanism with user required information to locate the resources accurately. This strategy effectively avoids the netstorm caused by mass information, data overlapping, and resource search partial coverage phenomenon, so as to solve the problem that query nodes use relay nodes blindly. The experimental results show that U2RLS has high search success rate, limited network resources consumption and short response time in query process, and therefore can significantly improve the efficiency for user resource location.