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PRM

Here gives the code and dataset links for paper "Personalized re-ranking for recommendation". I forgot the password of the following two github accounts which are only used for submitting the paper. =.=

PRM code

https://github.com/zyhfjx2019/drr

PRM dataset

https://github.com/rank2rec/rerank#readme

PRM dataset description

Each line represents a list of items for each request. There are 30 items in each list in total. All the features are splited into different fields by "|". We take one line of the sample as an example.

362730 request id |

[2, 1, 3] category features of user|

[[5446604, 12, 2, 1, 1], [5744528, 3, 1, 5, 1], [2537150, 3, 1, 3, 1], [1793732, 39, 3, 6, 1], [5282383, 3, 1, 4, 1], [4227266, 3, 1, 5, 1], [4725888, 29, 1, 1, 1], [5156214, 12, 2, 1, 1], [3889381, 164, 3, 1, 1], [5922801, 12, 2, 1, 1], [1835641, 76, 3, 2, 1], [5556475, 3, 1, 1, 1], [5275256, 12, 2, 3, 1], [1986835, 3, 1, 1, 1], [5722062, 12, 2, 3, 1], [5243235, 3, 1, 3, 1], [5274543, 3, 1, 3, 1], [3845313, 129, 3, 4, 1], [4631216, 3, 1, 1, 1], [5016177, 3, 1, 1, 1], [6147554, 12, 2, 1, 1], [4402896, 3, 1, 1, 1], [797341, 163, 3, 1, 1], [5276070, 12, 2, 2, 1], [2054769, 3, 1, 4, 1], [6474338, 3, 1, 2, 1], [4397096, 52, 1, 5, 1], [2344196, 39, 3, 3, 1], [5346898, 3, 1, 2, 1], [5326871, 3, 1, 4, 1]] | Category features of items in the list. All the featues of one item is included in '[' and ']'.

[[1.718472, 0.055282, 1.427542, 2.069278, 1.5304, 1.45515, 0.857918], [0.830741, -0.314306, 0.373362, 1.033042, 0.615715, 1.02312, -0.054769], [0.548018, -0.385178, -1.320911, -0.462031, -0.92583, 0.843569, -1.74529], [-0.070622, -0.369109, -0.587081, -0.327022, -0.514757, 0.315939, -0.75007], [0.404151, -0.349203, -0.057682, 0.318623, -0.022466, 0.740393, -0.381872], [-0.294833, -0.354839, -0.423807, 0.359266, 0.369386, 0.04524, -0.462036], [0.316804, 0.007675, 1.04668, 0.704438, 0.432193, 0.673, 0.800168], [0.903987, -0.228325, 0.768001, 0.942312, 0.495548, 1.065467, 0.338769], [-0.259276, -0.36743, -0.638216, 0.750293, 0.772382, 0.092574, -0.706405], [1.422585, -0.209018, 0.932929, 1.435603, 0.902497, 1.328097, 0.396825], [-0.321091, -0.179038, 0.459367, -0.039126, -0.047197, 0.009013, 0.475583], [1.046472, -0.305792, 0.476889, 0.623662, 0.108757, 1.143693, 0.000912], [-0.248009, -0.115841, 0.628938, 0.914435, 0.944177, 0.10718, 0.609937], [-0.317858, -0.163929, 0.495258, 0.574342, 0.61991, 0.013533, 0.511084], [0.007144, -0.325099, 0.035433, 0.95009, 0.838256, 0.396889, -0.135442], [0.844421, -0.361914, -0.13101, 0.528553, 0.061245, 1.031146, -0.584732], [0.260049, -0.375225, -0.6503, 0.203631, -0.091267, 0.627033, -0.951214], [-0.494566, -0.173402, 0.358915, -0.063252, 0.062704, -0.263491, 0.489117], [-0.277968, -0.346444, -0.303984, 0.109795, 0.085841, 0.06793, -0.346819], [0.009323, -0.335772, -0.054451, -0.041465, -0.244742, 0.399078, -0.230216], [1.312143, -0.236359, 0.830841, 1.384299, 0.872114, 1.276898, 0.312507], [-0.228521, -0.32282, -0.057436, -0.054211, -0.125149, 0.132025, -0.117312], [-0.367914, -0.373786, -0.882957, -0.683334, -0.716349, -0.058512, -0.896234], [0.142064, -0.310709, 0.189409, 0.40003, 0.173899, 0.525268, -0.030493], [-0.277195, -0.384219, -1.492345, -0.971835, -1.09486, 0.068959, -1.587708], [-0.195072, -0.078427, 0.719266, 0.613202, 0.582358, 0.173473, 0.675423], [-0.353603, -0.316225, -0.080931, 0.430073, 0.487985, -0.037456, -0.068206], [-0.291436, -0.229524, 0.341618, -0.024311, -0.051444, 0.049845, 0.334934], [0.131617, -0.335532, -0.003626, 0.094721, -0.154504, 0.515816, -0.22788], [-0.3098, -0.361674, -0.545403, -0.130219, -0.154445, 0.024727, -0.580049]]| The basic dense features of each items in the list. The "basic" means the important features which are suggested to be used.

[[-0.11826, 2.718945, 0.085299, -0.735397, 0.078699, 0.23584, 1.984058, 0.842391, 0.844605, 1.62474, 0.466446, -0.147121], [-0.171334, 1.499429, 0.210337, -0.735397, 0.762302, 0.780056, 0.020997, 1.052513, -0.12724, 1.294472, 0.839602, -0.147121], [1.174958, -0.181546, 0.811511, -0.735397, -0.063537, -0.089175, -0.845026, 1.678466, 0.486144, 0.334516, 0.594082, -0.147121], [0.059527, 0.38909, -0.050615, -0.735397, 0.534456, 0.128698, 0.051717, 0.54013, 0.262727, 0.797565, 0.783997, -0.147121], [1.085741, -0.24778, -0.007839, -0.735397, -0.507651, -0.562617, -0.051904, 0.646543, -0.094369, 0.258531, 0.558709, -0.147121], [0.193427, 0.834172, 0.489959, -0.735397, 0.335628, 0.378562, 0.248508, 1.397226, 0.504911, 1.034325, 0.784021, -0.147121], [0.494142, 0.061557, -0.311996, -0.735397, -1.298895, -1.043116, -0.777762, -0.757553, 0.144976, 0.564656, -2.815397, -0.147121], [0.284182, 0.141985, -0.167256, -0.735397, -0.787464, -0.736755, -0.394638, 0.163974, 0.340316, 0.628353, -0.512989, -0.147121], [-0.677093, 2.718945, 2.455141, -0.735397, -0.364629, -0.47342, 0.035719, 2.458182, 1.18401, 1.62474, 0.882326, -0.147121], [0.229669, 0.287919, 0.01177, -0.735397, -0.113126, 0.048302, 0.282898, 0.69144, 0.33204, 0.732501, 0.122931, -0.147121], [0.182852, 0.187839, -0.325595, -0.735397, -0.852627, -0.843122, 0.084876, -0.921779, 0.929318, 0.662545, 0.04292, -0.147121], [0.211349, 0.188203, -0.166492, -0.735397, -0.515751, -0.515671, -0.707213, 0.167021, -0.05686, 0.66281, -0.236692, -0.147121], [0.293963, 0.565231, -0.107551, -0.735397, -0.147053, 0.007888, 1.018228, 0.375814, 0.236655, 0.899685, 0.273349, -0.147121], [0.375137, -0.1921, -0.194193, -0.735397, -0.126097, -0.099684, 0.065044, 0.049359, 0.246178, 0.322876, 0.073599, -0.147121], [0.409294, 1.656645, 0.642522, -0.735397, 0.050541, 0.211819, -0.115893, 1.541554, 0.348826, 1.345412, 0.187614, -0.147121], [0.11121, -0.521089, 0.27034, -0.735397, -0.427209, -0.475882, -0.748393, 1.13832, -0.337794, -0.163263, 0.078015, -0.147121], [1.561662, -0.123318, 0.65887, -0.735397, -0.164847, -0.178519, -0.037675, 1.555739, 0.311776, 0.395888, 0.362757, -0.147121], [-0.100983, -0.87992, -0.313605, -0.735397, -0.582791, -0.755647, -0.775125, -0.775505, -0.954655, -2.010796, -1.386557, -0.147121], [0.653212, -0.247052, 0.039783, -0.735397, -0.378523, -0.230588, -0.62504, 0.751949, 0.124791, 0.259406, 0.116598, -0.147121], [0.85627, -0.285993, -0.198144, -0.735397, -0.959616, -0.885117, -0.744625, 0.031257, 0.519784, 0.211214, -1.980296, -0.147121], [0.011369, 1.144601, 0.060769, -0.735397, 0.012719, 0.170999, 0.450157, 0.794773, 0.449344, 1.166153, 0.383576, -0.147121], [0.629332, 0.091763, -0.201573, -0.735397, -0.667541, -0.555506, -0.687216, 0.015253, 0.107003, 0.589169, -0.243219, -0.147121], [0.318687, 0.197665, -0.069692, -0.735397, -1.154864, -0.877928, -0.704488, 0.488323, 0.375732, 0.669687, -0.651733, -0.147121], [0.730364, -0.207385, -0.123446, -0.735397, -0.535258, -0.537917, -0.727067, 0.324073, 0.113897, 0.305716, -0.219413, -0.147121], [0.882137, -0.670662, 0.268041, -0.735397, 0.066826, 0.121253, -0.845443, 1.135177, 0.119951, -0.542775, 0.575312, -0.147121], [1.120544, -0.345676, -0.258429, -0.735397, -0.547029, -0.637352, 0.52343, -0.302108, -0.016566, 0.131286, -0.411119, -0.147121], [-0.202314, 1.065265, 0.104733, -0.735397, 0.381051, -0.549236, 0.58431, 0.878418, 0.373732, 1.134449, 0.947668, -0.147121], [-0.106544, -0.804951, -0.304409, -0.735397, -0.831776, -0.884932, -0.726693, -0.677402, -0.232267, -1.166201, -0.175633, -0.147121], [0.379059, -0.452307, -0.166492, -0.735397, -0.515751, -0.515671, -0.779641, 0.167021, -0.181406, -0.03472, -0.236588, -0.147121], [0.724605, -0.543652, 0.061131, -0.735397, -0.34323, -0.434259, -0.589826, 0.795494, -0.16253, -0.210305, 0.656905, -0.147121]]| The optinal features of items in the list.

[0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] The lables of items in the list. 1 represents the positive label.

Enjoy~

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