Web information retrieval based on user operation on digital maps

Hiramoto, Ryoko; Sumiya, Kazutoshi

doi:10.1145/1183471.1183489

Cited by 16 publications

(14 citation statements)

References 13 publications

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“…He showed an application of the geo coding, spatial Web browsing, that allows users to select documents allocated in a map for browsing. Hiramoto and Sumiya [13] proposed a method for automatically retrieving Web pages by users' operation in a digital map. They predict users' intentions from operation sequences containing zooming-in and panning, and create a query for document retrieval.…”

Section: Geographic Searchmentioning

confidence: 99%

Query by example for geographic entity search with implicit negative feedback

Katô

Oyama

Ohshima

et al. 2010

Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

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We propose a method of searching for geographic entities in an unknown place with a query by example in a known place. Geographic entity searches are installed in many Web sites such as those for shopping and restaurants. Most of the sites hold classic attribute-based or keyword-based interfaces for entity retrieval; however, specifying each attribute users want is time-consuming, and keywords are not effective for representing users' complex intentions. The proposed query by example method in a map interface allows users to intuitively query by selecting entities in places they know well. The most similar entities to an input are returned based on the similarity varying with individuals. Our proposed method is robust for estimating the similarity using not only selected examples, but also implicit negative feedback, which is predicted by how the user selects examples as a query in the map interface. Experimental results proved the effectiveness of our method, and the performance exceeded that of a previously proposed method.

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Section: Geographic Searchmentioning

confidence: 99%

Query by example for geographic entity search with implicit negative feedback

Katô

Oyama

Ohshima

et al. 2010

Proceedings of the 4th International Conference on Uniquitous Information Management and Communication

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“…In particular, analyzing mouse or eye movements [2,19], browsed Web pages history [17,5,20], map operations [8,9,22,21,1], other inputted data [24,15]. Our proposed method analyzes the users' map operation as implicit intention for map restructuring.…”

Section: Related Workmentioning

confidence: 99%

“…Our former research [8,9] proposed a Web information retrieval method that detects the users' intentions from their manipulations of digital maps, and then automatically generated queries to retrieve Web pages. In the research, we conrmed that the users' intentions can be inferred from a sequence of map operations if the sequence has some meaning.…”

Section: Related Workmentioning

confidence: 99%

Digital map restructuring method based on implicit intentions extracted from users' operations

Kitayama

Teratani

Sumiya

2008

Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication

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In this paper, we propose a method of enhancing digital map interface by reecting users' intentions by means of automatically restructured maps. Extracted from the sequences of the users' map operations (zooming, centering, and panning), the users' intentions determine the types of objectives based on the sequence patterns or the semantic relation between place's names. We dene operation chunk mechanism, which expresses the meaning of the operation sequences, and the semantic relation, which expresses the meaning of the relation between two place's names. We also explain the restructuring function mechanism, by which the users' intentions are described, combining the operation chunks and the semantic relations. We have developed a prototype system based on this method and evaluated the appropriateness of the abovementioned denitions. The experimental results show that the restructuring function mechanism is dened appropriately, and that the automatically restructured map is suciently eective.

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“…In our proposed method, we dene four types of operation chunks (narrowing down, spreading out, panning, and relative position conrming). Each is assigned a regular expression and serves as a condition for obtaining the next map screen [2,3]. An asterisk indicates that an operation is performed zero times or more and a plus mark indicates that an operation is performed at least once in the sequence.…”

Section: User Map Operationsmentioning

confidence: 99%

Web-in-car

Sumiya

Segawa²,

Sugihara³

et al. 2008

Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

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We have developed a method that integrates Web search with car navigation systems. The method allows for automatic retrieval and display of relevant Web pages without the need to input keywords. We assume that the operations a user performs on a car navigation system's digital map reect specic intentions which can be determined through analysis and interpretation of the user operation sequence, in turn providing a basis for the automatic generation of Web queries and display of relevant Web pages. In this demo, we explain the method's implementation on a real car navigation system and detail the analysis and interpretation of user operation involved.

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Web information retrieval based on user operation on digital maps

Cited by 16 publications

References 13 publications

Query by example for geographic entity search with implicit negative feedback

Query by example for geographic entity search with implicit negative feedback

Digital map restructuring method based on implicit intentions extracted from users' operations

Web-in-car

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