K.R. Saradha, S. Prathibha, M.R. Sivakumar, N.B.S.Ashok Sandeep
{"title":"使用组概念索引的协同网络搜索","authors":"K.R. Saradha, S. Prathibha, M.R. Sivakumar, N.B.S.Ashok Sandeep","doi":"10.1109/ICCCT53315.2021.9711771","DOIUrl":null,"url":null,"abstract":"Collaboration is defined as two or more people or entities work together in a joint activity. The Collaborative Web search approach enhances search activities which provides valuable search knowledge and sharing knowledge among the group. The main objective of the system is to provide search results based on the user's conceptual preferences and the group oriented. The system supports more number of users can interact simultaneously in the web search environment. It includes collaborative user interface (UI), data retrieval from meta data, tracking every users' behavior such as query term, visited url, title of the page, index words, time spent on it, feedback of the page and comments about the page. These behaviors termed as a user profile. Then the user profile merge with the concept relevant group profile by using domain ontology. The users' concept and ID updated in the Group Conceptual Index table. Group Conceptual Index is a search aiding index and it can be designed as ideational association between search query and the appropriate pages visited by the search community. Using Group Conceptual Index identify the user interested page and recommend it to the user. And rerank the recommended pages with the traditional search engine results. The reranked result shows the interest of the user community.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Collaborative Web Search Using Group Conceptual Index\",\"authors\":\"K.R. Saradha, S. Prathibha, M.R. Sivakumar, N.B.S.Ashok Sandeep\",\"doi\":\"10.1109/ICCCT53315.2021.9711771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collaboration is defined as two or more people or entities work together in a joint activity. The Collaborative Web search approach enhances search activities which provides valuable search knowledge and sharing knowledge among the group. The main objective of the system is to provide search results based on the user's conceptual preferences and the group oriented. The system supports more number of users can interact simultaneously in the web search environment. It includes collaborative user interface (UI), data retrieval from meta data, tracking every users' behavior such as query term, visited url, title of the page, index words, time spent on it, feedback of the page and comments about the page. These behaviors termed as a user profile. Then the user profile merge with the concept relevant group profile by using domain ontology. The users' concept and ID updated in the Group Conceptual Index table. Group Conceptual Index is a search aiding index and it can be designed as ideational association between search query and the appropriate pages visited by the search community. Using Group Conceptual Index identify the user interested page and recommend it to the user. And rerank the recommended pages with the traditional search engine results. The reranked result shows the interest of the user community.\",\"PeriodicalId\":162171,\"journal\":{\"name\":\"2021 4th International Conference on Computing and Communications Technologies (ICCCT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 4th International Conference on Computing and Communications Technologies (ICCCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCT53315.2021.9711771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT53315.2021.9711771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collaborative Web Search Using Group Conceptual Index
Collaboration is defined as two or more people or entities work together in a joint activity. The Collaborative Web search approach enhances search activities which provides valuable search knowledge and sharing knowledge among the group. The main objective of the system is to provide search results based on the user's conceptual preferences and the group oriented. The system supports more number of users can interact simultaneously in the web search environment. It includes collaborative user interface (UI), data retrieval from meta data, tracking every users' behavior such as query term, visited url, title of the page, index words, time spent on it, feedback of the page and comments about the page. These behaviors termed as a user profile. Then the user profile merge with the concept relevant group profile by using domain ontology. The users' concept and ID updated in the Group Conceptual Index table. Group Conceptual Index is a search aiding index and it can be designed as ideational association between search query and the appropriate pages visited by the search community. Using Group Conceptual Index identify the user interested page and recommend it to the user. And rerank the recommended pages with the traditional search engine results. The reranked result shows the interest of the user community.