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Web Service Recommendation System using History and Quality of Service
Web service recommendation system is an alternative to achieve a better service discovery. Web service recommendation system using history has relatively low acceptance rate but web service recommendation system using quality of service can predict QoS values well. Therefore, this work proposes a so...
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creator | Sullivan, Alvin Catur Candra, Muhammad Zuhri |
description | Web service recommendation system is an alternative to achieve a better service discovery. Web service recommendation system using history has relatively low acceptance rate but web service recommendation system using quality of service can predict QoS values well. Therefore, this work proposes a solution to build a web service recommendation system using history and QoS. The built system has high accuracy, but the accuracy decreases as the system receives other inaccurate recommendation factors. Although the accuracy is able to decrease, the system has considered more recommendation factors. Therefore, this method can improve the accuracy of using history as recommendation factor by fusing it with another factors. As currently most web service recommendation systems use only one factor, proposed method can also be considered as a way to build a web service recommendation system using more than one factor. |
doi_str_mv | 10.1109/ICoDSE48700.2019.9092755 |
format | conference_proceeding |
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Web service recommendation system using history has relatively low acceptance rate but web service recommendation system using quality of service can predict QoS values well. Therefore, this work proposes a solution to build a web service recommendation system using history and QoS. The built system has high accuracy, but the accuracy decreases as the system receives other inaccurate recommendation factors. Although the accuracy is able to decrease, the system has considered more recommendation factors. Therefore, this method can improve the accuracy of using history as recommendation factor by fusing it with another factors. 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Web service recommendation system using history has relatively low acceptance rate but web service recommendation system using quality of service can predict QoS values well. Therefore, this work proposes a solution to build a web service recommendation system using history and QoS. The built system has high accuracy, but the accuracy decreases as the system receives other inaccurate recommendation factors. Although the accuracy is able to decrease, the system has considered more recommendation factors. Therefore, this method can improve the accuracy of using history as recommendation factor by fusing it with another factors. As currently most web service recommendation systems use only one factor, proposed method can also be considered as a way to build a web service recommendation system using more than one factor.</description><subject>Collaboration</subject><subject>Filtering</subject><subject>History</subject><subject>QoS</subject><subject>Quality of service</subject><subject>recommendation system</subject><subject>Throughput</subject><subject>Time factors</subject><subject>web service</subject><subject>Web services</subject><issn>2640-0227</issn><isbn>9781728149929</isbn><isbn>1728149924</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j81Kw0AURkdBsNQ8gZt5gdR7Zybzs5TY2kJBNIrLMsncyEiTSCYV8vYK1tW3OofzMcYRVojg7nbl8FCtlTUAKwHoVg6cMEVxwTJnLBphUTkn3CVbCK0gByHMNctS-gQAiQ5A6AXbvFPNKxq_Y0P8hZqh66gPfopDz6s5TdTxU4r9B9_GNA3jzH0f-PPJH-M086H9R2_YVeuPibLzLtnbZv1abvP90-OuvN_nEdFOudOIysjmt8drrS0ZqzA0ELxqjfbO21pIGYyRzjbB2tYWLdS6MLURJEjLJbv980YiOnyNsfPjfDg_lz82Gk1b</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Sullivan, Alvin</creator><creator>Catur Candra, Muhammad Zuhri</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201911</creationdate><title>Web Service Recommendation System using History and Quality of Service</title><author>Sullivan, Alvin ; Catur Candra, Muhammad Zuhri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-9611473c640a6668e7841dc0da4f76a9a8b233d77398cd88f85f0b657b72e2e63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Collaboration</topic><topic>Filtering</topic><topic>History</topic><topic>QoS</topic><topic>Quality of service</topic><topic>recommendation system</topic><topic>Throughput</topic><topic>Time factors</topic><topic>web service</topic><topic>Web services</topic><toplevel>online_resources</toplevel><creatorcontrib>Sullivan, Alvin</creatorcontrib><creatorcontrib>Catur Candra, Muhammad Zuhri</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sullivan, Alvin</au><au>Catur Candra, Muhammad Zuhri</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Web Service Recommendation System using History and Quality of Service</atitle><btitle>2019 International Conference on Data and Software Engineering (ICoDSE)</btitle><stitle>ICoDSE</stitle><date>2019-11</date><risdate>2019</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><eissn>2640-0227</eissn><eisbn>9781728149929</eisbn><eisbn>1728149924</eisbn><abstract>Web service recommendation system is an alternative to achieve a better service discovery. Web service recommendation system using history has relatively low acceptance rate but web service recommendation system using quality of service can predict QoS values well. Therefore, this work proposes a solution to build a web service recommendation system using history and QoS. The built system has high accuracy, but the accuracy decreases as the system receives other inaccurate recommendation factors. Although the accuracy is able to decrease, the system has considered more recommendation factors. Therefore, this method can improve the accuracy of using history as recommendation factor by fusing it with another factors. As currently most web service recommendation systems use only one factor, proposed method can also be considered as a way to build a web service recommendation system using more than one factor.</abstract><pub>IEEE</pub><doi>10.1109/ICoDSE48700.2019.9092755</doi><tpages>6</tpages></addata></record> |
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identifier | EISSN: 2640-0227 |
ispartof | 2019 International Conference on Data and Software Engineering (ICoDSE), 2019, p.1-6 |
issn | 2640-0227 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Collaboration Filtering History QoS Quality of service recommendation system Throughput Time factors web service Web services |
title | Web Service Recommendation System using History and Quality of Service |
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