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An Item-Oriented Algorithm on Cold-Start Problem in Recommendation System

by Mohammad Daoud, S.k Naqvi, Tahir Siddiqi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 11
Year of Publication: 2015
Authors: Mohammad Daoud, S.k Naqvi, Tahir Siddiqi
10.5120/20380-2606

Mohammad Daoud, S.k Naqvi, Tahir Siddiqi . An Item-Oriented Algorithm on Cold-Start Problem in Recommendation System. International Journal of Computer Applications. 116, 11 ( April 2015), 19-24. DOI=10.5120/20380-2606

@article{ 10.5120/20380-2606,
author = { Mohammad Daoud, S.k Naqvi, Tahir Siddiqi },
title = { An Item-Oriented Algorithm on Cold-Start Problem in Recommendation System },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 11 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number11/20380-2606/ },
doi = { 10.5120/20380-2606 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:49.972882+05:30
%A Mohammad Daoud
%A S.k Naqvi
%A Tahir Siddiqi
%T An Item-Oriented Algorithm on Cold-Start Problem in Recommendation System
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 11
%P 19-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recommending new items is an important, yet challenging problem due to the lack of preference history for the new items. To handle this problem, the existing system uses the popular core techniques like collaborative filtering, content-based filtering and combinations of these. In this paper, we propose a market-based approach for seeding recommendations for new items in which new items will reach the audience quickest. To support this approach we purposed the algorithm that match the new item specification (features) with the existing item and identify whether these features are available in existing item sets or not. The proposed system identifies the user opinion on new item feature those are available in existing item set and generates the quality report of newly launched item (which is not purchased yet).

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Index Terms

Computer Science
Information Sciences

Keywords

Cold start problem ecommerce recommendation system opinion

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