Abstract
As the amount of information available online is enormous, search engines continue to be the best tools to find relevant and required information in the least amount of time. However, with this growth of internet, the number of pages indexed in search engines is also increasing rapidly. The major concern at present is no more having enough information or not; it is rather having too much information which is in numerous different formats, languages and without any measure of precision. Therefore, it is essential to devise techniques that can benefit the process of extracting useful information suitable for users’ demands. Several mechanisms have been developed and some methods have been enhanced by researchers from all over the world to generate better or more relevant query that can be provided as suggestion to the user for enriched Information Retrieval. The objective of this paper is to summarize and analyze the various techniques adopted to optimize the Web Search process to support the user. The existing strategies developed in this scenario are also compared using standard IR metrics to evaluate the relevance of results.
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Wadhwa, N., Pateriya, R.K., Shrivastava, S. (2019). A Hybrid Query Recommendation Technique in Information Retrieval. In: Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-13-3804-5_13
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DOI: https://doi.org/10.1007/978-981-13-3804-5_13
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