Dealing with the Cold Start Problem when Providing Personalized Enterprise Content Recommendations

اسناد مشابه

• An ontological hybrid recommender system for dealing with cold start problem

  مقاله۲۰۲۲پردازش علائم و داده هاbahrani, payam، Keshavarz, Ahmad، Minaei Bidgoli, Behrouz، Mirzarezaee, Mitra

  Recommender Systems ( ) are expected to suggest the accurate goods to the consumers. Cold start is the most important challenge for RSs. Recent hybrid s combine and . We introduce an ontological hybrid RS where the ontology has been employed in its part while improving the ontolo

• Alleviating the Cold Start Problem in Recommender Systems Based on Modularity Maximization Community Detection Algorithm

  سند علمی۲۰۱۶S. Vairachilai, M. K. Kavithadevi, M. Raja

  Recommender system (RS) has become a very important factor in many eCommerce sites. In our daily life, we rely on the recommendation from other persons either by word of mouth, recommendation letters, movie, item and book reviews printed in newspapers, etc. The typical Recommende

• Handling Cold Start Problem in Recommender Systems by Clustering Demographic Attribute

  سند علمی۲۰۱۶Sugandha Gupta, Shefali Arora

  Recommender engines have become immensely important in recent years because a large number of people depend on internet to browse options out of a vast set of choices. Different websites implement recommender systems using different techniques such as content-based filtering, col

• Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms

  سند علمی۲۰۱۴CoRRHai Thanh Nguyen, Jérémie Mary, Philippe Preux

  In this paper, we study a cold-start problem in recommendation systems where we have completely new users entered the systems. There is not any interaction or feedback of the new users with the systems previoustly, thus no ratings are available. Trivial approaches are to select r

• A Hybrid Recommendation System for Cold-start Problem Using Online Commercial Dataset

  سند علمی۲۰۱۴Sandeep Kumar Singh, Honey Jindal

  Recommendation system is widely used in online commercial sites to satisfy user’s personal demands on the basis of their purchase behavior. However it is difficult to recommend items when the purchase history of the user is not available. This problem is known as user cold-start

• Hybrid Techniques to Address Cold Start Problems for People to People Recommendation in Social Networks

  سند علمی۲۰۱۲PRICAIYang Sok Kim, Alfred Krzywicki, Wayne Wobcke, Ashesh Mahidadia

  We investigate several hybrid approaches to suggesting matches in people to people social recommender systems, paying particular attention to cold start problems, problems of generating recommendations for new users or users without successful interactions. In previous work we sh