kumarbhrgv

Improvising diversity of personalized recommendation systems

Recent Research papers:

• Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques:

  107 Citations : IEEE Transactions on Knowledge and Data Engineering
  we introduce and explore a number of item ranking techniques that can generate substantially more diverse recommendations across all users while maintaining comparable levels of recommendation accuracy. Comprehensive empirical evaluation consistently shows the diversity gains of the proposed techniques using several real-world rating data sets and different rating prediction algorithms

• Recommendation Diversification Using Explanations: (Data Engineering, 2009. ICDE '09. IEEE 25th International Conference)

Traditionally, the problem is addressed through attribute-based diversification grouping items in the result set that share many common attributes (e.g., genre for movies) and selecting only a limited number of items from each group. It is, however,

lambdalisue

#! /bin/sh
### BEGIN INIT INFO
# Provides:          jupyterhub
# Required-Start:    $remote_fs $syslog
# Required-Stop:     $remote_fs $syslog
# Default-Start:     2 3 4 5
# Default-Stop:      0 1 6
# Short-Description: Start jupyterhub
# Description:       This file should be used to construct scripts to be
#                    placed in /etc/init.d.

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

brianckeegan

# Serrano, Boguna, Vespigani backbone extractor
# from http://www.pnas.org/content/106/16/6483.abstract
# Thanks to Michael Conover and Qian Zhang at Indiana with help on earlier versions
# Thanks to Clay Davis for pointing out an error

import networkx as nx
import numpy as np

def extract_backbone(g, weight='weight', alpha=.05):
    backbone_graph = nx.Graph()

Tho85

Build your own private, encrypted, open-source Dropbox-esque sync folder

Prerequisites:

• One or more clients running a UNIX-like OS. Examples are given for Ubuntu 12.04 LTS, although all software components are available for other platforms as well (e.g. OS X). YMMV
• A cheap Ubuntu 12.04 VPS with storage. I recommend Backupsy, they offer 250GB storage for $5/month. Ask Google for coupon codes.

Software components used:

• Unison for file synchronization
• EncFS for folder encryption

thiagomarzagao

### FIGHTIN' WORDS (MCQ-2008)   
### author: Thiago Marzagao     
### contact: marzagao ddott 1 at osu ddott edu

import os
import sys
import pandas as pd
import numpy as np
from numpy import matrix as m

securitytube

#!/usr/bin/env python

from scapy.all import *

ap_list = []

def PacketHandler(pkt) :

  if pkt.haslayer(Dot11) :
		if pkt.type == 0 and pkt.subtype == 8 :

migurski

from json import load, JSONEncoder
from optparse import OptionParser
from re import compile

float_pat = compile(r'^-?\d+\.\d+(e-?\d+)?$')
charfloat_pat = compile(r'^[\[,\,]-?\d+\.\d+(e-?\d+)?$')

parser = OptionParser(usage="""%prog [options]

Group multiple GeoJSON files into one output file.

gotgenes

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Copyright (c) 2011-2012 Christopher D. Lasher
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to

mblondel

"""
(C) Mathieu Blondel - 2010
License: BSD 3 clause

Implementation of the collapsed Gibbs sampler for
Latent Dirichlet Allocation, as described in

Finding scientifc topics (Griffiths and Steyvers)
"""