MostPop

The results of MostPop on the 6 datasets (i.e., ML-1M, LastFM, Book-X, Epinions, Yelp, AMZe) under three views (i.e., origin, 5-filter and 10-filter) w.r.t time-aware split-by-ratio (TSBR) are listed below.

ML-1M

The results on ML-1M dataset across origin, 5- and 10-filter settings are listed below.

origin

metric@K

1

5

10

20

30

50

pre

0.3294

0.2794

0.2554

0.2297

0.2135

0.1876

rec

0.0081

0.0305

0.0530

0.0915

0.1255

0.1806

hr

0.3294

0.6006

0.6997

0.8045

0.8448

0.8885

map

0.3294

0.2149

0.1734

0.1376

0.1193

0.0965

mrr

0.3294

0.6782

0.8290

0.9665

1.0388

1.1142

ndcg

0.3294

0.4727

0.4952

0.5125

0.5181

0.5233

5-filter

metric@K

1

5

10

20

30

50

pre

0.3302

0.2797

0.2558

0.2302

0.2139

0.1878

rec

0.0081

0.0305

0.0531

0.0917

0.1258

0.1810

hr

0.3302

0.6009

0.7001

0.8055

0.8459

0.8896

map

0.3302

0.2151

0.1737

0.1379

0.1195

0.0966

mrr

0.3302

0.6792

0.8303

0.9682

1.0406

1.1160

ndcg

0.3302

0.4732

0.4957

0.5132

0.5188

0.5240

10-filter

metric@K

1

5

10

20

30

50

pre

0.3315

0.2811

0.2569

0.2313

0.2150

0.1887

rec

0.0081

0.0306

0.0532

0.0919

0.1260

0.1813

hr

0.3315

0.6037

0.7024

0.8072

0.8472

0.8906

map

0.3315

0.2161

0.1745

0.1386

0.1202

0.0971

mrr

0.3315

0.6822

0.8339

0.9725

1.0452

1.1209

ndcg

0.3315

0.4754

0.4975

0.5149

0.5204

0.5256

LastFM

The results on LastFM dataset across origin, 5- and 10-filter settings are listed below.

origin

metric@K

1

5

10

20

30

50

pre

0.1020

0.0856

0.0712

0.0523

0.0435

0.0354

rec

0.0103

0.0435

0.0716

0.1041

0.1311

0.1787

hr

0.1020

0.2990

0.3978

0.4960

0.5762

0.6877

map

0.1020

0.0524

0.0338

0.0199

0.0141

0.0092

mrr

0.1020

0.2144

0.2509

0.2739

0.2840

0.2958

ndcg

0.1020

0.2043

0.2311

0.2520

0.2655

0.2833

5-filter

metric@K

1

5

10

20

30

50

pre

0.1585

0.0870

0.0743

0.0523

0.0443

0.0355

rec

0.0191

0.0513

0.0875

0.1230

0.1568

0.2108

hr

0.1585

0.2953

0.4067

0.5030

0.5911

0.6896

map

0.1585

0.0612

0.0388

0.0222

0.0158

0.0102

mrr

0.1585

0.2487

0.2873

0.3086

0.3198

0.3311

ndcg

0.1585

0.2197

0.2450

0.2652

0.2808

0.2954

10-filter

metric@K

1

5

10

20

30

50

pre

0.1468

0.0873

0.0677

0.0510

0.0437

0.0358

rec

0.0192

0.0574

0.0880

0.1327

0.1706

0.2344

hr

0.1468

0.3153

0.4097

0.5265

0.6017

0.7092

map

0.1468

0.0574

0.0349

0.0203

0.0146

0.0095

mrr

0.1468

0.2406

0.2712

0.2950

0.3067

0.3189

ndcg

0.1468

0.2240

0.2476

0.2706

0.2830

0.2998

Book-X

The results on Book-X dataset across origin, 5- and 10-filter settings are listed below.

origin

metric@K

1

5

10

20

30

50

pre

0.0125

0.0064

0.0048

0.0038

0.0033

0.0028

rec

0.0049

0.0107

0.0150

0.0216

0.0277

0.0378

hr

0.0125

0.0297

0.0411

0.0588

0.0728

0.0950

map

0.0125

0.0040

0.0023

0.0013

0.0010

0.0006

mrr

0.0125

0.0193

0.0214

0.0233

0.0242

0.0253

ndcg

0.0125

0.0213

0.0249

0.0292

0.0321

0.0361

5-filter

metric@K

1

5

10

20

30

50

pre

0.0238

0.0126

0.0098

0.0081

0.0070

0.0059

rec

0.0058

0.0126

0.0177

0.0275

0.0350

0.0482

hr

0.0238

0.0567

0.0789

0.1157

0.1408

0.1777

map

0.0238

0.0079

0.0047

0.0028

0.0020

0.0013

mrr

0.0238

0.0375

0.0420

0.0464

0.0484

0.0505

ndcg

0.0238

0.0407

0.0476

0.0565

0.0614

0.0682

10-filter

metric@K

1

5

10

20

30

50

pre

0.0298

0.0165

0.0134

0.0110

0.0097

0.0083

rec

0.0061

0.0131

0.0193

0.0300

0.0390

0.0546

hr

0.0298

0.0739

0.1085

0.1559

0.1886

0.2364

map

0.0298

0.0102

0.0061

0.0037

0.0027

0.0018

mrr

0.0298

0.0481

0.0547

0.0606

0.0634

0.0665

ndcg

0.0298

0.0524

0.0632

0.0746

0.0811

0.0894

Epinions

The results on Epinions dataset across origin, 5- and 10-filter settings are listed below.

origin

metric@K

1

5

10

20

30

50

pre

0.0013

0.0025

0.0016

0.0013

0.0012

0.0011

rec

0.0001

0.0006

0.0009

0.0014

0.0017

0.0029

hr

0.0013

0.0119

0.0157

0.0236

0.0296

0.0409

map

0.0013

0.0010

0.0005

0.0003

0.0002

0.0002

mrr

0.0013

0.0046

0.0052

0.0058

0.0062

0.0067

ndcg

0.0013

0.0063

0.0076

0.0096

0.0108

0.0129

5-filter

metric@K

1

5

10

20

30

50

pre

0.0030

0.0052

0.0033

0.0022

0.0020

0.0017

rec

0.0004

0.0034

0.0039

0.0046

0.0058

0.0074

hr

0.0030

0.0244

0.0299

0.0383

0.0498

0.0621

map

0.0030

0.0021

0.0012

0.0006

0.0005

0.0003

mrr

0.0030

0.0101

0.0111

0.0118

0.0125

0.0132

ndcg

0.0030

0.0134

0.0152

0.0173

0.0197

0.0220

10-filter

metric@K

1

5

10

20

30

50

pre

0.0041

0.0063

0.0040

0.0026

0.0024

0.0021

rec

0.0005

0.0046

0.0058

0.0066

0.0085

0.0107

hr

0.0041

0.0298

0.0370

0.0458

0.0598

0.0758

map

0.0041

0.0026

0.0015

0.0008

0.0006

0.0004

mrr

0.0041

0.0127

0.0139

0.0147

0.0155

0.0164

ndcg

0.0041

0.0167

0.0189

0.0211

0.0241

0.0270

Yelp

The results on Yelp dataset across origin, 5- and 10-filter settings are listed below.

origin

metric@K

1

5

10

20

30

50

pre

0.0020

0.0015

0.0012

0.0010

0.0009

0.0008

rec

0.0009

0.0037

0.0058

0.0098

0.0137

0.0209

hr

0.0020

0.0072

0.0113

0.0180

0.0242

0.0350

map

0.0020

0.0009

0.0005

0.0003

0.0002

0.0001

mrr

0.0020

0.0042

0.0048

0.0054

0.0057

0.0060

ndcg

0.0020

0.0049

0.0061

0.0078

0.0091

0.0111

5-filter

metric@K

1

5

10

20

30

50

pre

0.0039

0.0027

0.0024

0.0020

0.0018

0.0015

rec

0.0007

0.0025

0.0044

0.0074

0.0097

0.0140

hr

0.0039

0.0121

0.0199

0.0313

0.0396

0.0553

map

0.0039

0.0016

0.0010

0.0006

0.0004

0.0003

mrr

0.0039

0.0077

0.0090

0.0102

0.0107

0.0113

ndcg

0.0039

0.0085

0.0109

0.0137

0.0153

0.0182

10-filter

The performance of 10-filter setting across 6 metrics are listed below.

metric@K

1

5

10

20

30

50

pre

0.0051

0.0041

0.0031

0.0027

0.0024

0.0021

rec

0.0007

0.0026

0.0040

0.0072

0.0094

0.0138

hr

0.0051

0.0183

0.0262

0.0415

0.0525

0.0737

map

0.0051

0.0021

0.0012

0.0007

0.0005

0.0003

mrr

0.0051

0.0098

0.0111

0.0127

0.0134

0.0143

ndcg

0.0051

0.0113

0.0137

0.0174

0.0197

0.0235

AMZe

The results on AMZe dataset across origin, 5- and 10-filter settings are listed below.

origin

metric@K

1

5

10

20

30

50

pre

0.0019

0.0020

0.0025

0.0021

0.0018

0.0014

rec

0.0015

0.0061

0.0169

0.0285

0.0363

0.0464

hr

0.0019

0.0096

0.0245

0.0402

0.0511

0.0651

map

0.0019

0.0009

0.0006

0.0004

0.0003

0.0002

mrr

0.0019

0.0043

0.0063

0.0074

0.0079

0.0083

ndcg

0.0019

0.0056

0.0104

0.0143

0.0166

0.0193

5-filter

metric@K

1

5

10

20

30

50

pre

0.0149

0.0070

0.0064

0.0052

0.0043

0.0034

rec

0.0042

0.0095

0.0193

0.0312

0.0397

0.0513

hr

0.0149

0.0342

0.0612

0.0943

0.1162

0.1457

map

0.0149

0.0044

0.0026

0.0015

0.0010

0.0006

mrr

0.0149

0.0219

0.0257

0.0283

0.0294

0.0304

ndcg

0.0149

0.0247

0.0333

0.0413

0.0459

0.0511

10-filter

metric@K

1

5

10

20

30

50

pre

0.0228

0.0105

0.0085

0.0074

0.0062

0.0051

rec

0.0049

0.0105

0.0179

0.0317

0.0407

0.0548

hr

0.0228

0.0508

0.0793

0.1299

0.1570

0.2016

map

0.0228

0.0070

0.0040

0.0023

0.0016

0.0010

mrr

0.0228

0.0344

0.0387

0.0434

0.0449

0.0467

ndcg

0.0228

0.0381

0.0470

0.0598

0.0652

0.0731