IEEE 2015 Java Project

Improving Web Navigation Usability by Comparing Actual and Anticipated Usage

We present a new method to identify navigation-related Web usability problems based on comparing actual and anticipated usage patterns. The actual usage patterns can be extracted from Web server logs routinely recorded for operational websites by first processing the log data to identify users, user sessions, and user task-oriented transactions, and then applying an usage […]

Are Data Sets Like Documents?: Evaluating Similarity-Based Ranked Search over Scientific Data

The past decade has seen a dramatic increase in the amount of data captured and made available to scientists for research. This increase amplifies the difficulty scientists face in finding the data most relevant to their information needs. In prior work, we hypothesized that Information Retrieval-style ranked search can be applied to data sets to […]

Polarity Consistency Checking for Domain Independent Sentiment Dictionaries

Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or (semi)automatically constructed. We notice that these sentiment dictionaries have numerous inaccuracies. Besides obvious instances, where the same word appears with different polarities in different dictionaries, the dictionaries exhibit complex cases […]

An Attribute-Assisted Reranking Model for Web Image Search

Image search reranking is an effective approach to refine the text-based image search result. Most existing reranking approaches are based on low-level visual features. In this paper, we propose to exploit semantic attributes for image search reranking. Based on the classifiers for all the predefined attributes, each image is represented by an attribute feature consisting […]

Friendbook: A Semantic-Based Friend Recommendation System for Social Networks

  Existing social networking services recommend friends to users based on their social graphs, which may not be the most appropriate to reflect a user’s preferences on friend selection in real life. In this paper, we present Friendbook, a novel semantic-based friend recommendation system for social networks, which recommends friends to users based on their […]

Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

Mining opinion targets and opinion words from online reviews are important tasks for fine-grained opinion mining, the key component of which involves detecting opinion relations among words. To this end, this paper proposes a novel approach based on the partially-supervised alignment model, which regards identifying opinion relations as an alignment process. Then, a graph-based co-ranking […]

Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations

From social media has emerged continuous needs for automatic travel recommendations. Collaborative filtering (CF) is the most well-known approach. However, existing approaches generally suffer from various weaknesses. For example , sparsity can significantly degrade the performance of traditional CF. If a user only visits very few locations, accurate similar user identification becomes very challenging due […]

PPSGen: Learning-Based Presentation Slides Generation for Academic Papers

In this paper, we investigate a very challenging task of automatically generating presentation slides for academic papers. The generated presentation slides can be used as drafts to help the presenters prepare their formal slides in a quicker way. A novel system called PPSGen is proposed to address this task. It first employs the regression method […]

A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services

The Web creates excellent opportunities for businesses to provide personalized online services to their customers. Recommender systems aim to automatically generate personalized suggestions of products/services to customers (businesses or individuals). Although recommender systems have been well studied, there are still two challenges in the development of a recommender system, particularly in real-world B2B e-services: items […]

Effectiveness of Security Images in Internet Banking

  Internet banking websites often use security images as part of the login process, under the theory that they can help foil phishing attacks. Previous studies, however, have yielded inconsistent results about users’ ability to notice that a security image is missing. This article describes an online study of 482 users that attempts to clarify […]