Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context

Lam, Wai; Wong, Tak‐Lam; Jameel, Shoaib

doi:10.1145/2699666

Cited by 29 publications

(50 citation statements)

References 96 publications

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“…Modifying a query is one of the best ways to produce the search results relevant to the user's needs [2]. This method is used to aggregate the information present in the query search.…”

Section: Developing and Suggesting Query Search Resultsmentioning

confidence: 99%

Effective Mining Approach to Produce Quality Search Results Using Proposed Approach

Elavarasan¹,

Vincent²

2017

IJIES

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Abstract:Web mining is an application of data mining techniques to extract and process knowledge from sources such as web documents, hyperlinks, website usage logs etc. Due to the outbreak of extensive information through web resources, mining of semantically relevant data for a search keyword is one of the most intriguing studies to research. This work deals with automatically extracting the information from web documents using web content mining. The extracted data needs to be preprocessed in order to obtain the appropriate data format for further analysis. Generally, the content based search algorithm is used to find the items relevant to the keyword searched resulting in an indexed set of similar results. Further, the clustering of the similar data is done by adopting the quality threshold clustering algorithm assigning a similarity index to each of the result items. For the final list of items obtained, the weighted page ranking algorithm is applied to rank the most frequently searched item in the lists. The proposed work efficiency will be determined by the cluster's quality and the query blocks ranking efficiency. Various metrics like cluster purity, NMI, Rand Index, F-Measure, wPRF are used to evaluate the quality and the ranking efficiency of the search result obtained. Duplicate result sets are handled and are castigated for better unambiguous results. The results obtained is proved to be better and to overrun the existing approaches like QFI and QFJ. The quality of the result set obtained is further evaluated by repeating the process considering only the top n ranked items, shuffling the top items or by randomly selecting the items. Thus, enabling to validate and uphold the results of the proposed work surpassing the existing algorithms.

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“…Modifying a query is one of the best ways to produce the search results relevant to the user's needs [2]. This method is used to aggregate the information present in the query search.…”

Section: Developing and Suggesting Query Search Resultsmentioning

confidence: 99%

Effective Mining Approach to Produce Quality Search Results Using Proposed Approach

Elavarasan¹,

Vincent²

2017

IJIES

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“…However, search engines also take advantage of and store web search query reformations performed by the user, to correct errors, typos, and for modifications of the query for personalized results. While search engines might return better and more specific search results to the user, web search query reformation could be used as an attack against web search query obfuscation [49] [50] [51] [52]. When a user modifies an obfuscated query, it might be possible for the search engine to deduce the real query from dummy queries in such instances.…”

Section: Web Search Query Reformationmentioning

confidence: 99%

Web Search Query Privacy, an End-User Perspective

Mivule¹

2017

JIS

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While search engines have become vital tools for searching information on the Internet, privacy issues remain a growing concern due to the technological abilities of search engines to retain user search logs. Although such capabilities might provide enhanced personalized search results, the confidentiality of user intent remains uncertain. Even with web search query obfuscation techniques, another challenge remains, namely, reusing the same obfuscation methods is problematic, given that search engines have enormous computation and storage resources for query disambiguation. A number of web search query privacy procedures involve the cooperation of the search engine, a nontrusted entity in such cases, making query obfuscation even more challenging. In this study, we provide a review on how search engines work in regards to web search queries and user intent. Secondly, this study reviews material in a manner accessible to those outside computer science with the intent to introduce knowledge of web search engines to enable non-computer scientists to approach web search query privacy innovatively. As a contribution, we identify and highlight areas open for further investigative and innovative research in regards to end-user personalized web search privacy-that is methods that can be executed on the user side without third party involvement such as, search engines. The goal is to motivate future web search obfuscation heuristics that give users control over their personal search privacy.

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“…It is important for privacy practitioners to note that search engines store both the original query issued by the user and the reformed query selected by the user, to correct future errors, typos, and for adjustments of the query for personalized results. Although search engines could yield improved and more unambiguous search results for the web user, search query reformation can be viewed as vulnerability against web search query obfuscation [11][12] [13] [14].…”

Section: Background and Related Workmentioning

confidence: 99%

Permutation of Web Search Query Types for User Intent Privacy

Mivule¹

2017

ijacsa

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Abstract-Privacy remains a major concern when using search engines to find for information on the web due to the fact that search engines own massive resources in preserving search logs of each user and organizations. However, many of the present query search privacy practices require the very same search engine and third party to collaborate, making privacy even more difficult. Therefore, as a contribution, we present a heuristic, permutation of web search query types, a noncryptographic heuristic that works by formation of obfuscated search queries via permutation of query keyword categories. Preliminary results from this study show that web search query and specific user intent privacy might be achievable from the user side without involvement of the search engine or other third parties by the permutation of web search query types.

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Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context

Cited by 29 publications

References 96 publications

Effective Mining Approach to Produce Quality Search Results Using Proposed Approach

Effective Mining Approach to Produce Quality Search Results Using Proposed Approach

Web Search Query Privacy, an End-User Perspective

Permutation of Web Search Query Types for User Intent Privacy

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