subject predicate object context
55725 Creator 56412434212aaec1af1a675d5f017f1e
55725 Creator 084de32ba08c9eeea8d0f31b8f60c828
55725 Creator ext-2ff55cb70628e8d428d322a6977c5874
55725 Creator ext-9bcaf1366015d00a24d05884f782a7e2
55725 Date 2018
55725 Is Part Of repository
55725 abstract It has been shown that relevance judgment of documents is influenced by multiple factors beyond topicality. Some multidimensional user relevance models (MURM) proposed in literature have investigated the impact of different dimensions of relevance on user judgment. Our hypothesis is that a user might give more importance to certain relevance dimensions in a session which might change dynamically as the session progresses. This motivates the need to capture the weights of different relevance dimensions using feedback and build a model to rank documents for subsequent queries according to these weights. We propose a geometric model inspired by the mathematical framework of Quantum theory to capture the user's importance given to each dimension of relevance and test our hypothesis on data from a web search engine and TREC Session track.
55725 authorList authors
55725 presentedAt ext-6990aa44956ea3c399a5acea01167915
55725 status published
55725 status peerReviewed
55725 type AcademicArticle
55725 type Article
55725 label Uprety, Sagar ; Su, Yi; Song, Dawei and Li, Jingfei (2018). Modeling Multidimensional User Relevance in IR using Vector Spaces. In: SIGIR '18 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 8-12 Jul 2018, Ann Arbor, MI, USA, ACM Press, pp. 993–996.
55725 label Uprety, Sagar ; Su, Yi; Song, Dawei and Li, Jingfei (2018). Modeling Multidimensional User Relevance in IR using Vector Spaces. In: SIGIR '18 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 8-12 Jul 2018, Ann Arbor, MI, USA, ACM Press, pp. 993–996.
55725 Publisher ext-7d6b17de0dbc188be172630e71f8e835
55725 Title Modeling Multidimensional User Relevance in IR using Vector Spaces
55725 in dataset oro