Difference between revisions of "Using Wikipedia to Alleviate Data Sparsity Issues in Recommender Systems"
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| − | '''Using Wikipedia to Alleviate Data Sparsity Issues in Recommender Systems''' - scientific work related to Wikipedia quality published in 2010, written by Antonis Loizou and Srinandan Dasmahapatra. | + | '''Using Wikipedia to Alleviate Data Sparsity Issues in Recommender Systems''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Antonis Loizou]] and [[Srinandan Dasmahapatra]]. |
== Overview == | == Overview == | ||
| − | This paper proposes that Wikipedia can effectively be used in order to lessen the negative effects of data sparsity on the accuracy of recommendations produced by Recommender Systems, provided that domain resources available for recommendation can successfully be mapped to Wikipedia articles. Under the assumption that hyperlinks between Wikipedia articles convey latent semantic relationships between the concepts they represent, authors argue that by representing domain resources as a set of interconnected Wikipedia articles the volume of information available to a recommender algorithm increases, enabling it to improve its performance. The approach is evaluated using two real world datasets, giving positive results. | + | This paper proposes that [[Wikipedia]] can effectively be used in order to lessen the negative effects of data sparsity on the accuracy of recommendations produced by Recommender Systems, provided that domain resources available for recommendation can successfully be mapped to Wikipedia articles. Under the assumption that hyperlinks between Wikipedia articles convey latent semantic relationships between the concepts they represent, authors argue that by representing domain resources as a set of interconnected Wikipedia articles the volume of information available to a recommender algorithm increases, enabling it to improve its performance. The approach is evaluated using two real world datasets, giving positive results. |
Revision as of 09:17, 20 October 2019
Using Wikipedia to Alleviate Data Sparsity Issues in Recommender Systems - scientific work related to Wikipedia quality published in 2010, written by Antonis Loizou and Srinandan Dasmahapatra.
Overview
This paper proposes that Wikipedia can effectively be used in order to lessen the negative effects of data sparsity on the accuracy of recommendations produced by Recommender Systems, provided that domain resources available for recommendation can successfully be mapped to Wikipedia articles. Under the assumption that hyperlinks between Wikipedia articles convey latent semantic relationships between the concepts they represent, authors argue that by representing domain resources as a set of interconnected Wikipedia articles the volume of information available to a recommender algorithm increases, enabling it to improve its performance. The approach is evaluated using two real world datasets, giving positive results.
