Spatiotemporal Keyword Query Suggestion Based On Document Proximity and K-Means Method– A Review
نویسندگان
چکیده
منابع مشابه
Keyword Query Suggestion Based on Document Proximity
In this paper, we design a location-aware keyword query suggestion framework. We propose a weighted keyword-document graph, which captures both the semantic relevance between keyword queries and the spatial distance between the resulting documents and the user location. The graph is browsed in a randomwalk-with-restart fashion, to select the keyword queries with the highest scores as suggestion...
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Consider a user who has issued a keyword query to a search engine. We study the effective suggestion of alternative keyword queries to the user, which are semantically relevant to the original query and they have as results documents that correspond to objects near the user’s location. For this purpose, we propose a weighted keyword-document graph which captures semantic and proximity relevance...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2017
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2017.63157