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Questions related from Zafar Ali
I would like to ask a question from Neural nets community, that there exist many activation functions such as Sigmoid, Tanh, ReLu etc., to fire a neuron. To insure non-linearity and better update...
03 October 2018 368 8 View
Different similarity measuring techniques have been used in finding similarity between user profiles. However, what is the difference between these techniques, in which circumstances we should use...
04 March 2017 8,199 4 View
Hi everyone, If we want to evaluate the results generated by a context-aware recommender systems, which among the existing metrics would be suitable for this situation. Also, i would like to know...
03 June 2016 7,009 4 View
Recommendation systems are one of the information personalisation approach which is used to suggest relevant items and information according to user preferences and objective behaviors. As far as...
03 May 2016 5,847 6 View
I want to classify PDF documents belong to various topics and field of study. As SVM (support vector machine) is a suitable approach to classify such kind of textual documents, can anybody provide...
13 April 2016 2,128 11 View
Can anybody explain how collaborative filtering recommender systems make predictions for new items uisng Weighted sum method. Most of the research articles has provided formula but not explained...
20 February 2016 3,981 1 View
I want to compute adjusted cosine similarity value in an item-based collaborative filtering system for two items represented by a and b respectively. these items are represented by two vectors...
18 February 2016 3,030 4 View
I am working on a recommender system where i need to calculate similarity in ratings for user friends. which one out of cosine similarity and pearson correlation is better approach?
04 February 2016 4,488 1 View
Is it possible to use naive byes algorithm for features represented by Term frequencies. i am classifying books on the bases of features these books have, for that, i am representing these...
09 January 2016 4,494 3 View