Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center"><span style="width: 31.1382ptpx;"><svg height="8.8423pt" id="M112" style="vertical-align:-0.2064009pt" version="1.1" viewbox="-0.0498162 -8.6359 31.1382 8.8423" width="31.1382pt" 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="M743 650H503L496 622L527 618C563 613 564 603 532 573C449 495 371 431 323 392C301 374 272 355 246 346L280 522C297 609 300 614 379 622L385 650H135L129 622C209 614 215 609 198 522L124 133C106 39 99 35 23 28L17 0H271L277 28C193 35 192 39 208 133L239 316C264 328 280 325 303 288C368 183 435 90 502 0H652L659 28C602 34 584 43 543 94C495 154 403 283 347 369L574 554C634 603 659 612 735 624L743 650Z"></path></g><g transform="matrix(.013,0,0,-0.013,13.449,0)"><path d="M535 323V373H52V323H535ZM535 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133L239 316C264 328 280 325 303 288C368 183 435 90 502 0H652L659 28C602 34 584 43 543 94C495 154 403 283 347 369L574 554C634 603 659 612 735 624L743 650Z"></path></g><g transform="matrix(.013,0,0,-0.013,13.449,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,24.712,0)"><path d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"></path></g><g transform="matrix(.013,0,0,-0.013,30.952,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g></svg></span></td><td class="align_center"><span style="width: 37.4016ptpx;"><svg height="8.8423pt" id="M114" style="vertical-align:-0.2064009pt" version="1.1" viewbox="-0.0498162 -8.6359 37.4016 8.8423" width="37.4016pt" 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112 305 39 221 39C160 39 119 71 97 89C88 97 80 96 71 90C59 80 50 67 49 57C48 45 52 36 66 23C80 9 123 -12 169 -12C221 -11 288 15 342 59C403 109 431 165 431 225C431 308 366 395 238 395C212 395 165 379 127 364L153 550Z"></path></g></svg></span></td><td class="align_center"><span style="width: 37.4016ptpx;"><svg height="8.8423pt" id="M115" style="vertical-align:-0.2064009pt" version="1.1" viewbox="-0.0498162 -8.6359 37.4016 8.8423" width="37.4016pt" 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="M743 650H503L496 622L527 618C563 613 564 603 532 573C449 495 371 431 323 392C301 374 272 355 246 346L280 522C297 609 300 614 379 622L385 650H135L129 622C209 614 215 609 198 522L124 133C106 39 99 35 23 28L17 0H271L277 28C193 35 192 39 208 133L239 316C264 328 280 325 303 288C368 183 435 90 502 0H652L659 28C602 34 584 43 543 94C495 154 403 283 347 369L574 554C634 603 659 612 735 624L743 650Z"></path></g><g transform="matrix(.013,0,0,-0.013,13.449,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,24.712,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 193 193C144 135 87 78 32 23V0H405C417 45 427 89 440 131L412 140Z"></path></g><g transform="matrix(.013,0,0,-0.013,30.952,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 466 390 635 241 635ZM238 602C329 602 354 454 354 312C354 172 330 22 240 22C152 22 124 173 124 313S148 602 238 602Z"></path></g></svg></span></td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Home</td><td class="align_center">1.140</td><td class="align_center">1.177</td><td class="align_center">1.359</td><td class="align_center">1.142</td></tr><tr><td class="align_left">Theater</td><td class="align_center">1.404</td><td class="align_center">1.409</td><td class="align_center">1.392</td><td class="align_center">1.375</td></tr><tr><td class="align_left">Weekday</td><td class="align_center">1.391</td><td class="align_center">1.359</td><td class="align_center">1.361</td><td class="align_center">1.283</td></tr><tr><td class="align_left">Alone</td><td class="align_center">1.193</td><td class="align_center">1.208</td><td class="align_center">1.203</td><td class="align_center">1.132</td></tr><tr><td class="align_left">Weekends</td><td class="align_center">1.281</td><td class="align_center">1.245</td><td class="align_center">1.233</td><td class="align_center">1.271</td></tr><tr><td class="align_left">Holiday</td><td class="align_center">1.252</td><td class="align_center">1.220</td><td class="align_center">1.205</td><td class="align_center">1.209</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wireless Communications and Mobile Computing

tab4

Table 4

Table 4: Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment 