Session-based Suggestion of Topics for Geographic Exploratory Search

被引:5
作者
Mauro, Noemi [1 ]
Ardissono, Liliana [1 ]
机构
[1] Univ Turin, Comp Sci Dept, Turin, Italy
来源
IUI 2018: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES | 2018年
关键词
Geographical Information Retrieval; Session-based Concept Suggestion; Query Expansion; INFORMATION; WEB; KNOWLEDGE;
D O I
10.1145/3172944.3172957
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Exploratory information search can challenge users in the formulation of efficacious search queries. Moreover, complex information spaces, such as those managed by Geographical Information Systems, can disorient people, making it difficult to find relevant data. In order to address these issues, we developed a session-based suggestion model that proposes concepts as a "you might also be interested in" function, by taking the user's previous queries into account. Our model can be applied to incrementally generate suggestions in interactive search. It can be used for query expansion, and in general to guide users in the exploration of possibly complex spaces of data categories. Our model is based on a concept co-occurrence graph that describes how frequently concepts are searched together in search sessions. Starting from an ontological domain representation, we generated the graph by analyzing the query log of a major search engine. Moreover, we identified clusters of ontology concepts which frequently co-occur in the sessions of the log via community detection on the graph. The evaluation of our model provided satisfactory accuracy results.
引用
收藏
页码:341 / 352
页数:12
相关论文
共 48 条
  • [1] Akaishi M., 2004, ASSOCIATIVE INFORM R, P195
  • [2] [Anonymous], 2012, P 5 ACM INT C WEB SE
  • [3] [Anonymous], 2008, P KDD
  • [4] OnToMap - Semantic Community Maps for Knowledge Sharing
    Ardissono, Liliana
    Lucenteforte, Maurizio
    Mauro, Noemi
    Savoca, Adriano
    Voghera, Angiole S. A.
    La Riccia, Luigi
    [J]. PROCEEDINGS OF THE 28TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA (HT'17), 2017, : 317 - 320
  • [5] Semantic Interpretation of Search Queries for Personalization
    Ardissono, Liliana
    Lucenteforte, Maurizio
    Mauro, Noemi
    Savoca, Adriano
    Voghera, Angioletta
    La Riccia, Luigi
    [J]. ADJUNCT PUBLICATION OF THE 25TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'17), 2017, : 101 - 102
  • [6] Exploration of Cultural Heritage Information via Textual Search Queries
    Ardissono, Liliana
    Lucenteforte, Maurizio
    Mauro, Noemi
    Savoca, Adriano
    Voghera, Angioletta
    La Riccia, Luigi
    [J]. PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES (MOBILEHCI 2016), 2016, : 992 - 1001
  • [7] Beyond Relevance: Adapting Exploration/Exploitation in Information Retrieval
    Athukorala, Kumaripaba
    Medlar, Alan
    Oulasvirta, Antti
    Jacucci, Giulio
    Glowacka, Dorota
    [J]. PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (IUI'16), 2016, : 359 - 369
  • [8] Ballatore A., 2016, SPAT COGN COMPUT, V16, P1
  • [9] Improving automatic query classification via semi-supervised learning
    Beitzel, SM
    Jensen, EC
    Frieder, O
    Lewis, DD
    Chowdhury, A
    Kolcz, A
    [J]. Fifth IEEE International Conference on Data Mining, Proceedings, 2005, : 42 - 49
  • [10] BELKIN NJ, 1980, CAN J INFORM SCI, V5, P133