A　three-dimensional　boundary-spanning　technology　search　model　including　search　depth,scope　and　height　is　established,and　a　quantitative　calculation　method　is　proposed　to　dynamically　describe　an　organisation＇s　technology　search　behaviour　and　demand　characteristics.Organisations　are　clustered　by　types　as　technical,comprehensive,or　professional　using　k-means　based　on　technology　search　behaviour.Recommendation　strategies　for　various　types　of　organisations　are　proposed　based　on　this,and　the　search　and　supply　libraries　of　each　organisation　are　built　by　considering　their　type　and　search　contents.The　semantic　similarity　between　patents　in　different　libraries　is　calculated　using　a　Word2Vec　and　TextRank　model　to　achieve　patent　recommendations.An　empirical　study　of　the　robotics　field　shows　a　recommendation　accuracy　of　0.751,and　the　accuracy　of　the　technical,comprehensive,and　professional　types　is　0.8282,0.5389　and　0.7723,respectively.This　study　considers　an　organisation＇s　dynamic　search　behaviour　and　makes　class-based　recommendations,with　a　low　computational　complexity　and　strong　interpretability.