Search (4 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Lee, Y.-Y.; Ke, H.; Yen, T.-Y.; Huang, H.-H.; Chen, H.-H.: Combining and learning word embedding with WordNet for semantic relatedness and similarity measurement (2020) 0.00
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    Abstract
    In this research, we propose 3 different approaches to measure the semantic relatedness between 2 words: (i) boost the performance of GloVe word embedding model via removing or transforming abnormal dimensions; (ii) linearly combine the information extracted from WordNet and word embeddings; and (iii) utilize word embedding and 12 linguistic information extracted from WordNet as features for Support Vector Regression. We conducted our experiments on 8 benchmark data sets, and computed Spearman correlations between the outputs of our methods and the ground truth. We report our results together with 3 state-of-the-art approaches. The experimental results show that our method can outperform state-of-the-art approaches in all the selected English benchmark data sets.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.6, S.657-670
  2. Ruotsalo, T.; Jacucci, G.; Kaski, S.: Interactive faceted query suggestion for exploratory search : whole-session effectiveness and interaction engagement (2020) 0.00
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    Abstract
    The outcome of exploratory information retrieval is not only dependent on the effectiveness of individual responses to a set of queries, but also on relevant information retrieved during the entire exploratory search session. We study the effect of search assistance, operationalized as an interactive faceted query suggestion, for both whole-session effectiveness and engagement through interactive faceted query suggestion. A user experiment is reported, where users performed exploratory search tasks, comparing interactive faceted query suggestion and a control condition with only conventional typed-query interaction. Data comprised of interaction and search logs show that the availability of interactive faceted query suggestion substantially improves whole-session effectiveness by increasing recall without sacrificing precision. The increased engagement with interactive faceted query suggestion is targeted to direct situated navigation around the initial query scope, but is not found to improve individual queries on average. The results imply that research in exploratory search should focus on measuring and designing tools that engage users with directed situated navigation support for improving whole-session performance.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.7, S.742-756
  3. Jansen, B.; Browne, G.M.: Navigating information spaces : index / mind map / topic map? (2021) 0.00
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  4. Hoeber, O.: ¬A study of visually linked keywords to support exploratory browsing in academic search (2022) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1171-1191