Analysis and recommendation
Experimental Analysis of Recommendation System in e Commerce
... OF RECOMMENDATION SYSTEM The proposed workflow of RS is divided into two phases: a) Information gathering phase b) analysis and recommendation phase as shown in ...
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EUMSSI: a Platform for Multimodal Analysis and Recommendation using UIMA
... speech analysis and speaker recognition mutually reinforce one ...text analysis will significantly enhance the existing metadata, which can be used for retrieval and ...of analysis that may exist for ...
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DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries
... the recommendation of events and itineraries during big distributed events, such as big conventions, festivals, ...for analysis and ...event recommendation is that the users’ RSVP indicating the ...
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Integrating Network Analysis and Data Mining Techniques into Effective Framework for Web Mining and Recommendation. A Framework for Web Mining and Recommendation
... network analysis to further enrich the outcome from the data mining tasks leading to a more robust framework for analysis and ...detailed analysis leading to knowledge ...web analysis and ...
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A Correlational Analysis of Length and Nature of Relationships Between Applicant and Reference and Strength of Recommendation for CASPA Letters of Recommendation
... of recommendation from the 120 applicants selected for an interview at the CMU PA program were printed from the CASPA file and ...of recommendation were then ...
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Intelligent Recommendation System Based on Behavioural Analysis Approach
... "AResume Recommendation Model for Online Recruitment" ...Behavior Analysis and Commodity Recommendation for Point-Earning Apps” by authors ...a recommendation system and integrate ...
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ANALYSIS OF COLLABORATIVE FILTERING WITH I SSU RECOMMENDATION SYSTEM
... Social recommendation is common and prosperous among varied urban property applications like merchandise recommendation, on- line sharing, and looking ...and recommendation of things supported ...
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Differentially Private Trajectory Analysis for Points-of-Interest Recommendation
... trajectory analysis algorithm for points-of-interest recommendation to users that aims at maximizing the accuracy of the recommendation results while protecting the privacy of the exposed ...
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Statistical Analysis of k-Nearest Neighbor Collaborative Recommendation
... Collaborative recommendation is an information-filtering technique that attempts to present information items that are likely of interest to an Internet ...collaborative recommendation. We offer an in-depth ...
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Comparison of Sentiment Analysis and User Ratings in Venue Recommendation
... sentiment analysis is a widely used technique to gauge users’ opinions and attitudes, for instance towards products and venues, from textual user reviews ...Sentiment analysis not only predicts the polarity ...
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Analysis of Tag-Based Recommendation Performance for a Semantic Wiki
... each recommendation approach has its own particularities (See in Section 4), very hardly the three so- lutions will run in parallel in real life scenario because they occupy much space in the user’s interface and ...
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Analysis of Hybrid Recommendation System for E-commerce Application
... item recommendation to the ...Hybrid recommendation system performs effective product recommendation and increases the customer ...pattern analysis, Hybrid model of collaborative filtering, ...
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Experimental Analysis of the Effects of Social Relations on Mobile Application Recommendation
... Experimental Analysis of the Effects of Social Relations on Mobile Application Recommendation Tomonobu Ozaki and Minoru Etoh Abstract—In this paper, we empirically analyze the effects of social relations on ...
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Feedback Sentiment Analysis for Teachers Recommendation using Data Mining
... Sentiment analysis It is useful in getting insights of ...after analysis of their feedback ...have recommendation system for the professional growth of the teacher and ...
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Followee recommendation based on text analysis of micro-blogging activity
... the analysis of the content of micro-blogs to detect users' interests and in an exploration of the topology of follower/followee network to nd candidate users for ...text analysis of micro-blogs as well as ...
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Facebook Inc. Strategic Analysis and Recommendation
... Facebook.com is currently the largest social media network in the world with some 2.271 billion users, followed by YouTube with a distant 1.900 billion users (“Most famous social networ[r] ...
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Adobe Systems Inc. Strategic Analysis and Recommendation
... Introduction Adobe Systems Inc. (NASDAQ: ADBE) is an international software company that aims to provide all the tools necessary to create, design, and deliver the best digital experience for its customers. With over ...
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Business analysis and strategy recommendation for Vestas:
... statistical analysis on the queue has not been performed, the SPT rule should be seen as a tool that could make the processing of the queue more efficient with respect to the money invested in each project ...
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Aspect-based sentiment analysis and item recommendation
... For the aspect extraction task, we have developed and empirically compared two state-of-the-art, popular methods, namely Double Propagation –which exploits semantic relations between the words in the review to establish ...
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Comparative Analysis of Clustering Techniques for Movie Recommendation
... 2 School of Computer Science Engineering, VIT University, Vellore, India 3 School of Electrical Engineering, VIT University, Vellore, India Abstract. Movie recommendation is a subject with immense ambiguity. A ...