Indigo Books and Friends Recommendation

نویسندگان

  • Arnold Binas
  • Laurent Charlin
  • Alex Levinshtein
  • Maksims Volkovs
چکیده

In this report we take first and significant steps towards augmenting Indigo’s online presence by automatically personalized features that can be expected to help online sales: book as well as online community friends recommendations. We use and modify well-known collaborative filtering techniques to utilize a single machine learning method for both tasks. Our techniques are shown to be effective both quantitatively and by data visualization, and additionally yield valuable insights into how a refined data acquisition strategy may yield even more valuable results for Indigo.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Poisson Trust Factorization for Incorporating Social Networks into Personalized Item Recommendation

Many web users are faced with the problem of selecting which books to read and movies to watch. Traditionally, we ask our trusted friends for recommendations, but algorithmic recommendation models make those choices even easier, saving us time and effort by steering us towards media we are more likely to enjoy. The downside to most algorithmic recommendations is that, for some people, part of t...

متن کامل

Social Feature Re-ranking in INEX 2013 Social Book Search Track

The emerging of social community generates huge amount useful information in various areas. The information is generated in the context of social relation between people and their friends and is helpful to applications in the context. In the social book search task, we integrate the social feature into the traditional information retrieval technology to give better recommendation on books. We s...

متن کامل

A Transitive Recommendation System for Information Technology Communities

Social networks have become a new trend for research among computer scientist around the world. Social network had an impact on users' way of life. One of social network usages is recommendation systems. The need of recommendation systems is arising when users try to know best choice for them in many items types (books, experts, locations, technologies, etc.). The problem is that a single perso...

متن کامل

Similar but Different: Exploiting Users' Congruity for Recommendation Systems

The pervasive use of social media provides massive data about individuals’ online social activities and their social relations. The building block of most existing recommendation systems is the similarity between users with social relations, i.e., friends. While friendship ensures some homophily, the similarity of a user with her friends can vary as the number of friends increases. Research fro...

متن کامل

A New-come Book Recommendation Algorithm Based on Features in University’s Library

The university’s libraries have always had too many resources to be found by readers so the value of many books has been reduced for missing prescription. Although there have already been a lot of book recommendation researches in university library, few studies have been carried out in respect of the fact how to recommend the new-come books. New books should be more valuable to be recommended,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009