This　article　aims　to　study　the　recommendation　algorithm　of　financial　wealth　management　products　based　on　the　Internet.　Through　the　item　information　of　fund　wealth　management　products,　it　mainly　includes　wealth　management　products　issued　by　banks　and　fund　products　issued　by　fund　companies　as　well　as　user　behavior　information,　combined　with　traditional　collaborative　filtering　algorithms　to　obtain　a　recommendation　list,　and　then　add　a　time　series　model,　consider　the　seven-day　annual　interest　rate　and　other　time-sensitive　attribute　factors　to　improve　the　accuracy　of　the　recommendation,　and　finally　introduce　the　current　more　cutting-edge　DIEN　model　algorithm　to　get　the　recommendation　result,　which　integrates　the　sequence　The　model　is　used　to　simulate　the　change　process　of　user　interest　over　time,　and　the　attention　mechanism　is　introduced　to　improve　the　recommendation　effect,　thereby　providing　users　with　better　product　choices.　©　2022　IEEE.