Evaluating Recommender Strategies 

Abstract

Recommender systems are a subclass of information filtering systems that seek to generate meaningful recommendations to users for products or items that might interest them. In recent times, it has become common to collect large amounts of data that allows for a deeper analysis of how a user interacts with the products being offered. Recommender Systems have evolved to fulfill the dual need of buyers and sellers by automating the generation of recommendations based on data analysis. This paper will focus on the extent to which recommender systems are helpful, will compare the various methods used to implement them, problems in collaborative filtering and content based filtering methods and illustrate on some open problems that are common to any recommender system.

Authors and Affiliations

SHIKHAR JULKA , AAKASH VERMA

Keywords

Related Articles

An improved load balancing adaptive QoS buffer scheduler (I-LABS) for streaming services over MANET

Large variations in network Quality of Service (QoS) in terms of bandwidth, latency, jitter may occur during media transfer over Mobile Ad-hoc Networks (MANETs). Researchers have identified that complex computing applica...

ANALYSIS OF LAND SURFACE TEMPERTURE AND PREDICTING THE UNKNOWN VALUES USING SPATIAL INTERPOLATION METHODS

This paper compares five spatial interpolation methods of Kriging-exponential, Krigingspherical,Kriging- Gaussian with different weighting values are unity and 1/Standard Deviation in temperature interpolation,utilizing...

A NOVEL APPROACH FOR COMMUNITY DISCOVERY IN DYNAMIC NETWORKS 

Recently, discovering aggressive communities has become an increasingly critical task. Many conclusion have been expected, most of which only use correlation structure. However, rich information is cipher in the content...

DYNAMIC ANALYSIS OF LOCATION TRACKING USING MICROADDRESS RECORDER

The Location Tracking can be considered as one of the most advanced, innovative and practical Location based Services. A place is very important entity to a user with a semantic meaning such as “You are at your Home”,” Y...

Animal Health Observation by Using Query Processing Based On Fuzzy Logic in Wireless Sensor Network

Wireless Sensor Networks (WSNs) query processing based on fuzzy logic provides specifications of the desired data of common natural language, eliminate the custom of threshold values the same as predicates. The query of...

Download PDF file
  • EP ID EP153965
  • DOI -
  • Views 115
  • Downloads 0

How To Cite

SHIKHAR JULKA, AAKASH VERMA (2016). Evaluating Recommender Strategies . International Journal of Computer Science & Engineering Technology, 7(1), 1-5. https://europub.co.uk/articles/-A-153965