Internet content caching strategies were evaluated to improve hit rates for large user populations. A new strategy called SG-LRU combines LRU simplicity with prioritizing important content based on a score function. Simulations using Zipf distributed requests showed a 10%–20% hit rate gain over traditional LRU methods. Results were consistent with real-world web platform data. The study also compared caching performance for different request patterns, showing that the SG-LRU strategy is effective for caches serving large user communities.