Web Graph Based Recommendations Identification for Query Suggestion with Efficient Search Reranking

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Developer
Format: PDF
With the diverse and explosive growth of Web information, how to organize and utilize the information effectively and efficiently has become more and more critical. The first challenge is that it is not easy to recommend latent semantically relevant results to users. Take query suggestion as an example; there are several outstanding issues that can potentially degrade the quality of the recommendations, which merit investigation and the ambiguity which commonly exists in the natural language. Queries containing ambiguous terms may confuse the algorithms which do not satisfy the information needs of users. The second challenge is how to take into account the personalization feature.

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