Category Archives: Data Science

Model Selection

| May 8, 2014 2:56 pm |

(First of all, I inform you that this post are being edited now…) Bootstrapping Bootstrapping […]

Handling Data Sparsity in Collaborative Filtering using Emotion and Semantic Based Features

| February 11, 2014 10:57 am |

ACM SIGIR ’11 Yashar Moshfeghi (University of Glasgow, Glasgow, United Kingdom) Benjamin Piwowarski (University of […]

A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce

| February 3, 2014 6:16 pm |

IEEE Intelligent Systems ’07 Zan Huang (Pennsylvania State University, James City, USA) Daniel Zeng (University […]

A Random Walk Method for Alleviating the Sparsity Problem in Collaborative Filtering

| January 25, 2014 2:47 pm |

ACM conference on Recommender Systems – RecSys ’08 Hilmi Yildirim (Rensselaer Polytechnic Institute, Troy, New […]

Pachinko Allocation

| November 11, 2013 4:11 pm |

Pachinko allocation model (PAM) captures arbitrary, nested, and possibly sparse correlations between topics using a […]

Missing data

| November 8, 2013 3:15 pm |

In statistics, missing data (or missing values) occur when no data value is stored for […]

Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking

| October 7, 2013 11:57 am |

IEEE Transactions on Systems, Man, and Cybernetics – PART B: Cybernetics ’12 Qi Liu (University […]

Correlated Topic Models, CTM

| October 4, 2013 7:12 pm |

Motivation A limitation of Latent Dirichlet Allocation (LDA) is the inability to model topic correlation. […]

Gibbs Sampling for Topic Models

| August 27, 2013 11:56 am |

Introduction Suppose that we are under the situation that we want to discover the topics […]

Latent Dirichlet Allocation, LDA

| July 30, 2013 4:14 am |

Motivations LDA overcomes the problems in PLSA model by treating the topic mixture weights as […]

TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling

| June 16, 2013 1:06 pm |

IEEE International Conference on Data Mining ’11 Younghoon Kim (Seoul National University, Seoul, South Korea) […]

Probabilistic Latent Semantic Analysis, PLSA

| June 12, 2013 12:22 pm |

Topic model 문서들의 집합에서 topic들을 찾아내기 위한 모델로, 눈에 보이는 observation, 즉, given data에 대해 […]

Collaborative Filtering, CF

| May 23, 2013 12:08 pm |

Collaborative Filtering Collaborative filtering (CF) is a technique used by some recommender systems. In general, […]

The Wisdom of the Few: A Collaborative Filtering Approach Based on Expert Opinions from the Web

| May 8, 2013 10:23 pm |

ACM Special Interest Group on Information Retrieval ’09 Xavier Amatriain (Telefonica Research, Barcelona, Spain) Neal […]

Frequent Pattern Analysis

| April 10, 2013 2:20 pm |

Frequent pattern is a pattern that occurs frequently in a data set. Association Rules Find […]

MinHash

| April 9, 2013 2:07 pm |

In computer science, MinHash (or the min-wise independent permutations locality sensitive hashing scheme) is a […]

PageRank

| March 13, 2013 5:51 pm |

Motivation Before introducing the basic concept of PageRank, we should first consider why we need […]

Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

| March 6, 2013 2:14 pm |

IEEE Transactions on Knowledge and Data Engineering ’05 Gediminas Adomavicius (Minnesota University., Minneapolis, MN, USA) […]