[Retracted] Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph

<div>Precision with different <svg height="9.49471pt" id="M142" style="vertical-align:-0.1933298pt" version="1.1" viewbox="-0.0498162 -9.30138 7.06766 9.49471" width="7.06766pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M513 415C513 437 487 454 458 454C407 454 340 393 278 336C253 313 228 287 199 255H197L292 676C296 694 294 703 283 703C262 703 191 674 92 664L83 632L111 631C157 629 157 620 149 582L21 -7L28 -12C63 -2 109 6 150 8L184 185C191 195 204 213 215 224C234 168 260 107 281 60C304 9 330 -12 359 -12C391 -12 452 11 509 84L489 114C462 86 440 74 430 74C409 74 384 131 339 235C324 269 315 288 305 307C332 339 376 361 411 361C438 361 457 356 467 351C471 349 476 351 485 359C499 372 513 395 513 415Z" id="g5-108"></path></g></svg> values.</div>

Mathematical Problems in Engineering

fig12

Figure 12

Figure 12: [Retracted] Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph 