A distributed and multi-tiered software architecture for assessing e-Commerce recommendations
Summary Recently, an ever increasing number of e‐Commerce tools has been made available that are able to help customers by generating purposed recommendations. Many of them are centralized so that they have to face problems related to efficiency and scalability. A few of them are distributed, but in...
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| Veröffentlicht in: | Concurrency and computation 2016-12, Vol.28 (18), p.4507-4531 |
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| container_title | Concurrency and computation |
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| creator | Palopoli, Luigi Rosaci, Domenico Sarné, Giuseppe M. L. |
| description | Summary
Recently, an ever increasing number of e‐Commerce tools has been made available that are able to help customers by generating purposed recommendations. Many of them are centralized so that they have to face problems related to efficiency and scalability. A few of them are distributed, but in this case, the complexity of the e‐Commerce process implies computation overhead on the client side, which is often unsuitable if mobile devices are used by customers. In this paper, we study how the software distribution in recommender systems affects their performances, depending on the characteristics of the e‐Commerce population. To this end, we present a distributed testbed architecture for e‐Commerce recommender systems using a multi‐tiered agent‐based approach to generate effective recommendations without requiring such an onerous amount of computation per single client. We use such a testbed to study the main advantages and limitations associated with the problem of distributing the computation of recommendations. Copyright © 2016 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/cpe.3798 |
| format | Article |
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Recently, an ever increasing number of e‐Commerce tools has been made available that are able to help customers by generating purposed recommendations. Many of them are centralized so that they have to face problems related to efficiency and scalability. A few of them are distributed, but in this case, the complexity of the e‐Commerce process implies computation overhead on the client side, which is often unsuitable if mobile devices are used by customers. In this paper, we study how the software distribution in recommender systems affects their performances, depending on the characteristics of the e‐Commerce population. To this end, we present a distributed testbed architecture for e‐Commerce recommender systems using a multi‐tiered agent‐based approach to generate effective recommendations without requiring such an onerous amount of computation per single client. We use such a testbed to study the main advantages and limitations associated with the problem of distributing the computation of recommendations. Copyright © 2016 John Wiley & Sons, Ltd.</description><identifier>ISSN: 1532-0626</identifier><identifier>EISSN: 1532-0634</identifier><identifier>DOI: 10.1002/cpe.3798</identifier><language>eng</language><publisher>Blackwell Publishing Ltd</publisher><subject>Computation ; Computer programs ; consumer behavior ; Customers ; distributed computing ; Electronic commerce ; Internet ; multi-agent systems ; Recommendations ; Recommender systems ; Software</subject><ispartof>Concurrency and computation, 2016-12, Vol.28 (18), p.4507-4531</ispartof><rights>Copyright © 2016 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4068-c50ca33e794b24374befe6ed072d58e3ff2f55c3099a7909b4d8081de97e7ffe3</citedby><cites>FETCH-LOGICAL-c4068-c50ca33e794b24374befe6ed072d58e3ff2f55c3099a7909b4d8081de97e7ffe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcpe.3798$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcpe.3798$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Palopoli, Luigi</creatorcontrib><creatorcontrib>Rosaci, Domenico</creatorcontrib><creatorcontrib>Sarné, Giuseppe M. L.</creatorcontrib><title>A distributed and multi-tiered software architecture for assessing e-Commerce recommendations</title><title>Concurrency and computation</title><addtitle>Concurrency Computat.: Pract. Exper</addtitle><description>Summary
Recently, an ever increasing number of e‐Commerce tools has been made available that are able to help customers by generating purposed recommendations. Many of them are centralized so that they have to face problems related to efficiency and scalability. A few of them are distributed, but in this case, the complexity of the e‐Commerce process implies computation overhead on the client side, which is often unsuitable if mobile devices are used by customers. In this paper, we study how the software distribution in recommender systems affects their performances, depending on the characteristics of the e‐Commerce population. To this end, we present a distributed testbed architecture for e‐Commerce recommender systems using a multi‐tiered agent‐based approach to generate effective recommendations without requiring such an onerous amount of computation per single client. We use such a testbed to study the main advantages and limitations associated with the problem of distributing the computation of recommendations. Copyright © 2016 John Wiley & Sons, Ltd.</description><subject>Computation</subject><subject>Computer programs</subject><subject>consumer behavior</subject><subject>Customers</subject><subject>distributed computing</subject><subject>Electronic commerce</subject><subject>Internet</subject><subject>multi-agent systems</subject><subject>Recommendations</subject><subject>Recommender systems</subject><subject>Software</subject><issn>1532-0626</issn><issn>1532-0634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAURSMEEqUg8RMysqTYcWLHYxWVglRBB6AsyHLsZzDko9iOSv89qUBFDEzvvqujO5woOsdoghFKL9UaJoTx4iAa4ZykCaIkO9znlB5HJ96_IYQxIngUPU9jbX1wtuoD6Fi2Om76OtgkWHBD4TsTNtJBLJ16tQFU6IfHdC6W3oP3tn2JISm7pgGnIHagdrHVMtiu9afRkZG1h7OfO44ermb35XWyuJvflNNFojJEi0TlSElCgPGsSjPCsgoMUNCIpTovgBiTmjxXBHEuGUe8ynSBCqyBM2DGABlHF9-7a9d99OCDaKxXUNeyha73Ahc0yykuGP9Fleu8d2DE2tlGuq3ASOwMisGg2Bkc0OQb3dgatv9yolzO_vKDUPjc89K9C8oIy8Xqdi6e5qts-ZhTgckX8bGCwg</recordid><startdate>20161225</startdate><enddate>20161225</enddate><creator>Palopoli, Luigi</creator><creator>Rosaci, Domenico</creator><creator>Sarné, Giuseppe M. L.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20161225</creationdate><title>A distributed and multi-tiered software architecture for assessing e-Commerce recommendations</title><author>Palopoli, Luigi ; Rosaci, Domenico ; Sarné, Giuseppe M. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4068-c50ca33e794b24374befe6ed072d58e3ff2f55c3099a7909b4d8081de97e7ffe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computation</topic><topic>Computer programs</topic><topic>consumer behavior</topic><topic>Customers</topic><topic>distributed computing</topic><topic>Electronic commerce</topic><topic>Internet</topic><topic>multi-agent systems</topic><topic>Recommendations</topic><topic>Recommender systems</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palopoli, Luigi</creatorcontrib><creatorcontrib>Rosaci, Domenico</creatorcontrib><creatorcontrib>Sarné, Giuseppe M. L.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Concurrency and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palopoli, Luigi</au><au>Rosaci, Domenico</au><au>Sarné, Giuseppe M. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A distributed and multi-tiered software architecture for assessing e-Commerce recommendations</atitle><jtitle>Concurrency and computation</jtitle><addtitle>Concurrency Computat.: Pract. Exper</addtitle><date>2016-12-25</date><risdate>2016</risdate><volume>28</volume><issue>18</issue><spage>4507</spage><epage>4531</epage><pages>4507-4531</pages><issn>1532-0626</issn><eissn>1532-0634</eissn><abstract>Summary
Recently, an ever increasing number of e‐Commerce tools has been made available that are able to help customers by generating purposed recommendations. Many of them are centralized so that they have to face problems related to efficiency and scalability. A few of them are distributed, but in this case, the complexity of the e‐Commerce process implies computation overhead on the client side, which is often unsuitable if mobile devices are used by customers. In this paper, we study how the software distribution in recommender systems affects their performances, depending on the characteristics of the e‐Commerce population. To this end, we present a distributed testbed architecture for e‐Commerce recommender systems using a multi‐tiered agent‐based approach to generate effective recommendations without requiring such an onerous amount of computation per single client. We use such a testbed to study the main advantages and limitations associated with the problem of distributing the computation of recommendations. Copyright © 2016 John Wiley & Sons, Ltd.</abstract><pub>Blackwell Publishing Ltd</pub><doi>10.1002/cpe.3798</doi><tpages>25</tpages></addata></record> |
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| subjects | Computation Computer programs consumer behavior Customers distributed computing Electronic commerce Internet multi-agent systems Recommendations Recommender systems Software |
| title | A distributed and multi-tiered software architecture for assessing e-Commerce recommendations |
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