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Search results in technical forums are typically keyword based. The relevance of a link is usually gauged by closest content match. However, it has been shown in literature that users' click behavior is an integral part of deciding the relevance of a search result. Moreover, it is not just the number of clicks that
on the similarity between the student's answer and model answer, cosine similarity measure is used for this purpose. Cosine similarity is a heuristic evolutionary measure that has succeeded to solve text to text similarity problems. Word root and synonyms for each keyword in the student's answer and the model answer are
The number of Web services are growing rapidly on the Internet. Topics of services are becoming various. Semantic-based keyword search is used to retrieve proper services for service consumers. According to the semantic information implied in service database, we build a topic model to cluster and management related
articles. Then, we design a three-layered graph-based recommendation model that integrates fine-grained co-authorship as well as author–paper, paper–citation, and paper-keyword relations. Our model effectively generates query-oriented recommendations using a simple random walk algorithm. Extensive experiments
keyword specified by the investigator or suggested by system. Experiments were conducted on dummy crime dataset to test the accuracy and the scalability of the proposed system. Experimental results proved that subject suggestion improved the accuracy and thus speeds up the process of searching the evidence.
Image search re-ranking, as an effective tool to improve the text-based image search result, has been adopted by many commercial search engines nowadays. Given a query keyword, images are first retrieved based on the textual information. Then visual features are extracted from images to reorder them by mining their
searchable encryption scheme. And the model introduces a trusted third authority (TA), which is independent from the honest but curious cloud server. It allows multi-keyword search and informs data integrity verify results on the cipher text and outsourced data to users simultaneously. Finally, we demonstrate that the new
between cloud computing and big data by employing keyword co-occurrence analysis on scientific publications. Following that, this paper explores the case of Malaysia as cloud computing service sector has emerged and there is focus on adoption of big data. Subsequently, new opportunities for cloud service providers in
, keyword extraction and similarity search in the broad fields of text mining, information retrieval, statistical language modeling. In this work, a dataset with 200 abstracts fall under four topics are collected from two different domain journals for tagging journal abstracts. The document models are built using LDA (Latent
Document clustering is to group documents according to a certain semantic features defined on the document set for measuring the similarities between two documents. The keyword models such as the TFIDF model of document have been widely used as features for document clustering. But it lacks of semantic structure
learn from. Repositories offer keyword-based search engines to find scripts relevant to specialized needs, but they lack any means for filtering search results according to reusability. To address this shortcoming, we present an approach for creating a model to automatically estimate the reusability of web automation
collaborative development, submission, archiving, review, search, and utilization of models. In SimMoLib, a model linking concept has been developed and implemented to enhance the model search and their probable reuse. Along with regular keyword-based search, a direct and an indirect linking between the models in the library has
components rather than a single Database table. So to minimise the time constraint, memory space and to do a smart search a new IR system is introduced. In the proposed system, searches can be divided into three categorise, namely (i) Main topic search (ii) Subtitle search and (iii) Keyword search. So the system would search
Polynomial evaluation is an important tool in constructing many cryptographic protocols, such as proof of retrievability and verifiable keyword search. However, for the high degree polynomials derived from very large datasets, polynomial evaluation becomes an intractable problem, especially for resource limited
from large amounts of mobile network traffic data. Specifically, we create a Jaccard-based coefficient measure method to identify a proper keyword representing each mobile device model from massive unstructured textual HTTP access logs. To handle the large amount of traffic data generated from large mobile networks, this
growth of computing power. Although other analytic approaches also benefit from this trend, keyword searches of several scholarly search engines reveal that the reliance on simulation is increasing more rapidly. A descriptive analysis paints a compelling picture: simulation is frequently a researcher's preferred method for
set. Objectionable Web text detection is performed based on the similarity between the text and the model. Experiments are done on real world text sets which come from Web forums, and the results show that the proposed method can achieve better performance than that of keyword-based method with semantic feature selection
actual language identification. On our bi-lingual lecture tasks the PPRLM system clearly outperforms the PPR system in various segment length conditions, however at the cost of slower run-time. By using lexical information in the form of keyword spotting, and additional language models we show ways to improve the
In the past few years, videos become an ordinary communication mean for both personal and business activities. Not only the keyword search that have been utilized widely, but also the video content-based search, i.e. given a query video, the similar video sequences can be retrieved. Meanwhile, the increasing of the
Electronic Commerce has offered a convenient way for people to go shopping on the Internet. However, it is difficult for Internet customers to select a valuable item from the great number of various products available on line. When we use a keyword and search in a EC website, the ranking algorithm of products is
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.