{"title":"像人一样思考:构建面向认知的网络搜索检索模型","authors":"Xiangsheng Li","doi":"10.1145/3336191.3372180","DOIUrl":null,"url":null,"abstract":"Existing retrieval models have gained much success, however, we have to admit that the models work in a rather different manner than how humans make relevance judgments. To bridge the gap between practical user behavior and retrieval model, it is essential to construct cognitive-oriented retrieval model. The cognitive process in IR includes two important aspects: searching and reading. Searching is the user behaviors interacted with retrieval system such as query formulation and click while reading is the information seeking behavior in a specific landing page or document. We plan to better understand user cognitive behaviors in these two aspects by conducting a lab-based user study. More importantly, the heuristics drawn from cognitive behaviors are then incorporated into retrieval models.","PeriodicalId":319008,"journal":{"name":"Proceedings of the 13th International Conference on Web Search and Data Mining","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search\",\"authors\":\"Xiangsheng Li\",\"doi\":\"10.1145/3336191.3372180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing retrieval models have gained much success, however, we have to admit that the models work in a rather different manner than how humans make relevance judgments. To bridge the gap between practical user behavior and retrieval model, it is essential to construct cognitive-oriented retrieval model. The cognitive process in IR includes two important aspects: searching and reading. Searching is the user behaviors interacted with retrieval system such as query formulation and click while reading is the information seeking behavior in a specific landing page or document. We plan to better understand user cognitive behaviors in these two aspects by conducting a lab-based user study. More importantly, the heuristics drawn from cognitive behaviors are then incorporated into retrieval models.\",\"PeriodicalId\":319008,\"journal\":{\"name\":\"Proceedings of the 13th International Conference on Web Search and Data Mining\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th International Conference on Web Search and Data Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3336191.3372180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Conference on Web Search and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3336191.3372180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search
Existing retrieval models have gained much success, however, we have to admit that the models work in a rather different manner than how humans make relevance judgments. To bridge the gap between practical user behavior and retrieval model, it is essential to construct cognitive-oriented retrieval model. The cognitive process in IR includes two important aspects: searching and reading. Searching is the user behaviors interacted with retrieval system such as query formulation and click while reading is the information seeking behavior in a specific landing page or document. We plan to better understand user cognitive behaviors in these two aspects by conducting a lab-based user study. More importantly, the heuristics drawn from cognitive behaviors are then incorporated into retrieval models.