Design and Application of Multiattribute Tourist Information Recommendation Model Based on User Interest

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Attraction/time</td><td class="align_center">…</td><td class="align_center">9:00</td><td class="align_center">10:00</td><td class="align_center">11:00</td><td class="align_center">12:00</td><td class="align_center">…</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left"><span style="width: 19.8695ptpx;"><svg height="14.5316pt" id="M51" style="vertical-align:-3.9384pt" version="1.1" viewbox="-0.0498162 -10.5932 19.8695 14.5316" width="19.8695pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,2.33939e-05)"><path d="M321 -265V-236C237 -225 227 -181 227 -132C227 -64 244 49 244 143C244 202 220 254 159 269V273C221 287 244 339 244 397C244 489 227 585 227 676C227 723 237 765 321 776V805C259 805 168 790 168 663C168 574 176 471 176 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199 176 162C176 74 168 -28 168 -127C168 -252 259 -265 321 -265Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.998,0)"><path d="M352 391C352 416 319 448 267 448C236 448 173 423 147 400C107 364 96 332 96 304C96 248 143 210 193 181C241 153 258 124 258 100C258 72 232 38 184 38C151 38 107 66 81 108C77 114 64 116 55 111C34 99 23 84 23 65C23 29 81 -12 134 -12C220 -12 325 61 325 141C325 184 297 215 234 256C194 282 161 309 161 346C161 380 188 401 217 401C255 401 279 380 301 353C308 344 313 341 325 347C341 355 352 371 352 391Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.808,3.132)"><path d="M414 144C384 79 371 75 317 75H135L276 221C367 316 408 376 408 465C408 570 327 635 237 635C179 635 131 609 100 575L42 494L67 471C94 510 138 565 205 565C277 565 321 517 321 435C321 348 258 270 195 195C146 137 88 81 33 26V0H411C423 44 433 88 446 135L414 144Z"></path></g><g transform="matrix(.013,0,0,-0.013,14.754,2.33939e-05)"><path d="M310 255V286C210 292 207 342 207 380C207 471 215 574 215 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xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,2.33939e-05)"><path d="M321 -265V-236C237 -225 227 -181 227 -132C227 -64 244 49 244 143C244 202 220 254 159 269V273C221 287 244 339 244 397C244 489 227 585 227 676C227 723 237 765 321 776V805C259 805 168 790 168 663C168 574 176 471 176 380C176 342 173 292 73 286V255C173 249 176 199 176 162C176 74 168 -28 168 -127C168 -252 259 -265 321 -265Z"></path></g><g transform="matrix(.013,0,0,-0.013,4.998,0)"><path d="M352 391C352 416 319 448 267 448C236 448 173 423 147 400C107 364 96 332 96 304C96 248 143 210 193 181C241 153 258 124 258 100C258 72 232 38 184 38C151 38 107 66 81 108C77 114 64 116 55 111C34 99 23 84 23 65C23 29 81 -12 134 -12C220 -12 325 61 325 141C325 184 297 215 234 256C194 282 161 309 161 346C161 380 188 401 217 401C255 401 279 380 301 353C308 344 313 341 325 347C341 355 352 371 352 391Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.808,3.132)"><path d="M462 177V227H365V632H320C217 496 116 350 21 208V177H284V109C284 43 280 38 190 31V0H451V31C369 38 365 43 365 108V177H462ZM284 227H88C155 336 218 430 282 519H284V227Z"></path></g><g transform="matrix(.013,0,0,-0.013,14.754,2.33939e-05)"><path d="M310 255V286C210 292 207 342 207 380C207 471 215 574 215 663C215 790 124 805 62 805V776C146 765 156 723 156 676C156 585 139 489 139 397C139 339 162 287 224 273V269C163 254 139 202 139 143C139 49 156 -64 156 -132C156 -181 146 -225 62 -236V-265C124 -265 215 -252 215 -127C215 -28 207 74 207 162C207 199 210 249 310 255Z"></path></g></svg></span></td><td class="align_center">…</td><td class="align_center">0.4</td><td class="align_center">0.5</td><td class="align_center">0.6</td><td class="align_center">0.7</td><td class="align_center">…</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Scoring of attractions at different times.</div>

Wireless Communications and Mobile Computing

tab3

Table 3

Table 3: Design and Application of Multiattribute Tourist Information Recommendation Model Based on User Interest 