Web search enhancement by mining user actions

Beg, M. M. Sufyan; Ahmad, Nesar

doi:10.1016/j.ins.2006.06.011

Cited by 32 publications

(18 citation statements)

References 14 publications

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“…− 0.0174 [6] 0.180498 [3] − 0.18024 [7] − 0.17061 framework, R p (i k , t j ) and R m (i k , t j ). Similarly, in the second experiment, another two lists with top 10 posts are given, but in this case, one is the search result returned by the ranking function R p (i k , t k, j ), and the other is the result from Technorati blog post search service.…”

Section: Evaluation Resultsmentioning

confidence: 99%

“…Several novel frameworks to learn user preferences have been presented in the past, and they considered various user responses such as relevance judgments, clickstreams, sequence in which users pick up the results, and time spent at a specific document [3,6,15]. While the methods using the explicit feedback like relevance judgments have been very effective to automatically tailor the ranking functions to particular user groups or collections, they rely on user interactions to identify relevant results in a ranking, which is often hard to implement in real world services.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Relationship between Keywords and Feed Elements in Blog Post Search

et al. 2009

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Blogs are increasingly accepted as a useful means to proliferate a variety of information on the web. As the popularity of blogs grows rapidly, a number of blog search engines have appeared recently to help users access and discover blog posts efficiently. Nevertheless, existing approaches tend to focus on ranking the blog posts according to their recency or popularity only, leaving the problem of retrieving more topic relevant posts to a user's query largely unexplored. In this paper, we present a novel blog ranking framework, called PTRank, that improves search quality by taking account of relevance feedback from users as well as various information available from RSS feeds. A neural network method is employed to learn ranking functions that provide a relevance score between a keyword and a blog post. Extensive experiments on real blog data have been conducted to validate the proposed ranking framework for blog post search, and the results indicate that PTRank performs significantly better than the existing popular approach.Keywords blog post search · ranking · learning to rank · RSS feed · neural network · web 2.0

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Section: Evaluation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Relationship between Keywords and Feed Elements in Blog Post Search

et al. 2009

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“…We also plan to incorporate user feedback into the recommender system, in a similar vein as it is done for web search engines (see e.g. [27,28]). In particular, relevance feedback 5 can be very useful to update the positive and negative preference relation, and may help to reduce their associated uncertainty.…”

Section: Resultsmentioning

confidence: 99%

“…Table 1 shows the ratings given by users, where as mentioned a 0 means no rating is available for this item. Using (28) and (29), the fuzzy relations P + and P À are established and shown in Table 2.…”

Section: A Trade Exhibition Recommender System For E-governmentmentioning

confidence: 99%

One-and-only item recommendation with fuzzy logic techniques

Cornelis

Guo

et al. 2007

Information Sciences

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“…In fact, satisfaction is the time a user prints, saves, marks, e-mails or copies a document or part of it. In addition, it is important to consider spending more time by the users in fast investigation of documents and the great importance with which the document is perceived by the users (Beg, 2007 being beyond customer's imagination, meeting expectations, willingness to reuse, and praising and recommending a product or tool to others. Perceived usefulness is the extent an individual believes using a definite system promotes his career performance (Davis, 1989;Mothwick and Malhotra, 2001).…”

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confidence: 99%

A Study on the Relationship between Perceived Usefulness and Satisfaction with Query Reformulation Tools

Shaker¹,

Farhadpoor²,

Nazari³

2016

Biosci., Biotech. Res. Asia

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This study aims to study the relationship between perceived usefulness and satisfaction with query reformulation tools in the Science Direct Database. A descriptive analytic method was used to study the relationship between variables; the data were collected using a researcher-made questionnaire. The participants were selected among the students of Information Sciences in Islamic Azad University of Research and Science Center of Khuzestan (n = 28). The findings showed that users main reason for query reformulation was not having enough time to investigate all retrieved results (Mean = 4.66). They also showed that based on perceived satisfaction and usefulness, the users used the query tools which bounded them to the topic (Mean = 3.92 for usefulness and M = 3.83 for satisfaction). In addition, Pearson's correlation co-efficiency (r = 0.939) at (0.001) significance level showed that users perceived usefulness from query reformulation tools increased satisfaction. Perceiving the usefulness of query reformulation tools improves the use of results. However, the usefulness is not the same for all tools and needs to be reviewed.Keywords: Query Reformulation, Search Usefulness, Search Satisfaction, Search Assessments.Whenever a user is in need of information, he has to produce information or get use of information produced by others (Babaee, 2003). If it is possible to define information production in the realm of thought and research, getting use of others' information calls for a chain of complicated activities which are located in the field of the search for information. The search for information is an imprecise process. When users enter a system of accessing information, often they have a vague perception of the way they can access the information. The vague stream of accessing information in different resources and media in itself does not produce value for those who need it, and likewise, the information does not flow toward people based on their need, rather, they themselves go for information in different contexts and look for it.In electrical information resources, the most important factor of mutual relationship between users (one who has a potential need for information) and system (an organized environment with potential information to meet users' information need) is the "user interface". If

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Web search enhancement by mining user actions

Cited by 32 publications

References 14 publications

Exploring the Relationship between Keywords and Feed Elements in Blog Post Search

Exploring the Relationship between Keywords and Feed Elements in Blog Post Search

One-and-only item recommendation with fuzzy logic techniques

A Study on the Relationship between Perceived Usefulness and Satisfaction with Query Reformulation Tools

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