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While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to address this gap by focusing on the impact of bookmarking on consumer behavior, guided by the cognitive load theory and dual-system theory.

The authors executed a controlled experiment and analyzed the results using a two-stage regression method that linked visual appeal, bookmarking and purchase intent. Further empirical analysis was conducted to authenticate the authors' proposed model, utilizing real-world mobile commerce data from a clothing company.

This study's findings suggest that visual appeal influences purchase intent primarily through the full mediation of bookmarking, rather than exerting a direct influence. Furthermore, an increase in colorfulness corresponds positively with visual appeal, while visual complexity exhibits an inverted U-shaped relationship with it.

This study provides novel insights into the choice-set formation process through the theoretical lens of dual-system theory. Additionally, the authors employed an image processing technique to quantify a product's visual appeal as depicted in a photograph. This study also incorporates a comprehensive econometric analysis to connect the objective aspects of visual appeal with subjective responses.

With a mass of electronic multi-topic documents available, there is an increasing need for evaluating emerging analysis tools to help users and digital libraries analyze these documents better. The purpose of this paper is to evaluate the effectiveness, efficiency and user satisfaction of THC-DAT, a within-document analysis tool, in reading a multi-topic document.

The authors reviewed related literature first, then performed a user-centered, comparative evaluation of two within-document analysis tools, THC-DAT and BOOKMARK. THC-DAT extracts a topic hierarchy tree using hierarchical latent Dirichlet allocation (hLDA) method and takes the context information into account. BOOKMARK provides similar functionality to the Table of Contents bookmarks in Adobe Reader. Three novel kinds of tasks were devised for participants to finish on two tools, with objective results to assess reading effectiveness and efficiency. And post-system questionnaires were employed to obtain participants’ subjective judgments about the tools.

The results confirm that THC-DAT is significantly more effective than BOOKMARK, while not inferior in efficiency. There is some evidence that suggests THC-DAT can slow down the process of approaching cognitive overload and improve users’ willingness to undertake difficult task. Based on qualitative data from questionnaires, the results indicate that users were more satisfied when using THC-DAT than BOOKMARK.

Adopting THC-DAT in digital libraries or electrical document reading systems contributes to promoting users’ reading performance, willingness to undertake difficult task and general satisfaction. Moreover, THC-DAT is of great value to addressing cognitive overload problem in the information retrieval field.

This paper evaluates a novel within-document analysis tool in analyzing a multi-topic document, and proved that this tool is superior to the benchmark in effectiveness and user satisfaction, and not inferior in efficiency.

A total of 17 user‐compiled collections of webpages, comprising 833 bookmarked links in terms of genre, are studied. The purpose of this paper is to find out whether users tend to bookmark certain web genres more than others. Genre theory helps to make sense of the different pages included in these collections, and to classify them, according to their communicative purpose and salient non‐topical features, into blogs, search interfaces, articles, tutorials.

A total of 17 participants took part in the research by providing their collections of bookmark links. They were also interviewed about the reasons for bookmarking and to comment on their collections. Relying on the interview results and on the previous literature, the bookmarks were classified into four super‐genres: main or access pages, transactional pages, navigational pages, and content pages.

The results of the classification into web genres revealed a clear tendency to bookmark main pages, such as homepages, which accounted for 42 per cent of all bookmarked web links. Moreover, some aspects of relevance were highlighted such as the connections to use, time, and context, as well as to the main web activity (browsing or searching).

Previously, bookmarks have mostly been studied as tools for information reuse, but very rarely as sources of implicit relevance feedback. In addition, from the point of view of genre theory, this research shows the importance of relating web genres to users' intentions behind queries.

Altmetric indicators have been proposed as a complement to citation counts in research evaluation. Conceivably, they might also be used to supplement other methods for estimating journal readership. The purpose of this paper is to explore the use of Mendeley reference management software to characterize the features of the readership of library and information science (LIS) literature.

The authors used the Social Sciences Citation Index to retrieve 54,655 articles and reviews published between 1995 and 2014 and indexed in the category “Information Science & Library Science”. Each record was then searched in Mendeley to obtain the number of bookmarks of the paper and the academic status of the users.

Mendeley covers 61 per cent of the LIS literature published in the last 20 years. In all, 75 per cent of the papers published in the last five years had been bookmarked at least once in Mendeley whereas just 55 per cent had been cited in Web of Science. Reviews are bookmarked more frequently than articles, and papers in English have more bookmarks than papers in any other language. Most users of LIS literature are PhD and postgraduate students.

The study shows that altmetrics can be used as a source of data in information behaviour studies. Reference management software provides an unobtrusive means of capturing reading habits in the scholarly literature. Compared to citation counts, bookmarks are rapidly available and also reflect usage outside the academic community.

The aim of this study is to provide a theoretical extension to the private‐collective model of information sharing along with an empirical test with users of a social bookmarking website.

The paper includes a survey of 112 users of an actual bookmarking site recruited through an online research panel firm. The survey consisted of scales adapted from the literature as well as scales developed by the authors.

The results indicate that contributions to a social bookmarking site are a combination of intentional and unintentional contributions. A significant predictor of intentional public contributions of bookmarks is an egoistic motivation to see one as competent by contributing valuable information. However, there is also a significant but negative relationship between altruism and public contribution whereby users concerned with the needs of others limit their public contributions.

The sample consists of users of a particular social bookmarking site (Yahoo!'s MyWeb). Therefore, the results may not be generalizable to other social bookmarking websites, different types of social networks, or other contexts lacking the public/private option for contributions. Second, since the data comes from a cross‐sectional survey, as opposed to a longitudinal study, the causal relations posited in the model and substantiated with the statistical analyses can only be inferred based on the authors’ theoretical development. Third, although the size of the sample (112 respondents) is appropriate for PLS analysis it may have been insufficient to detect other significant relationships.

Administrators of social bookmarking sites should incorporate incentive and feedback mechanisms to inform contributors whether they contributions have been used (for example, with times viewed) and/or deemed useful (with numeric or qualitative ratings).

The results suggest that both selfish motivations associated with the need to feel competent (egoism), as well as selfless concerns for the needs of other users (altruism) drive intentional contributions to the public repository in social bookmarking systems. These two counterbalancing forces indicate that a mix of egoism and altruism is crucial for the long‐term sustainability of social web sites based on information sharing.

This study provides theoretical explanations and empirical evidence of egoism and altruism as significant explanations for cooperation in private‐collective models, such as the ones represented by social bookmarking systems.

Video summarisation is one of the most active fields in content‐based video retrieval research. A new video summarisation scheme is proposed by this paper based on socially generated temporal tags.

To capture users' collaborative tagging activities the proposed scheme maintains video bookmarks, which contain some temporal or positional information about videos, such as relative time codes or byte offsets. For each video all the video bookmarks collected from users are then statistically analysed in order to extract some meaningful key frames (the video equivalent of keywords), which collectively constitute the summary of the video.

Compared with traditional video summarisation methods that use low‐level audio‐visual features, the proposed method is based on users' high‐level collaborative activities, and thus can produce semantically more important summaries than existing methods.

It is assumed that the video frames around the bookmarks inserted by users are informative and representative, and therefore can be used as good sources for summarising videos.

Folksonomy, commonly called collaborative tagging, is a Web 2.0 method for users to freely annotate shared information resources with keywords. It has mostly been used for collaboratively tagging photos (Flickr), web site bookmarks (Del.icio.us), or blog posts (Technorati), but has never been applied to the field of automatic video summarisation. It is believed that this is the first attempt to utilise users' high‐level collaborative tagging activities, instead of low‐level audio‐visual features, for video summarisation.

With really simple syndication (RSS), library users can have information delivered to them automatically, instead of spending large amount of time searching databases, web sites and blogs for new literature in their subject fields. The availability of social bookmarking tools gives researchers new ways to discover, share and store information for their research. This paper aims to provide information on how academic librarians can use RSS feeds and social bookmarking tools as mechanisms of current awareness and resource discovery.

The paper focuses on the ways of keeping current using RSS feeds and social bookmarking tools.

RSS feeds and social bookmarking tools help manage information and save time as well as increase access to new information.

The paper showcases how academic librarians at the University of Canterbury Library teach students to stay current by using RSS feeds and social bookmarking for current awareness and resource discovery.

The purpose of this article is to consider the appeal and impact of internet social networking sites and reflect upon a likely disconnect between libraries and the current web generation.

Makes reference to previous authors' works relating to social bookmarking and portable bookmarks.

Finds that serious academic researchers now utilize social bookmarking software.

Is of value to librarians who might consider using social bookmarking tags to reach out to today's net generation.

The purpose of this paper is to introduce the notion of social search as a new concept, drawing upon the patterns of web search behaviour. It aims to: define social search; present a taxonomy of social search; and propose a user‐centred social search method.

A mixed method approach was adopted to investigate and conceptualise the notion of social search. A review of literature on social search was carried out to identify the key trends and topics. A model of online collaboration was adopted to delineate the types and categories of social search. Four use case scenarios were developed to provide a more pragmatic approach to the understanding of social search.

The developed taxonomy of social search reveals important similarities and differences between many social search systems. This analysis reveals a gap in social search approaches. A practical method was identified that allows users to directly leverage social search without special features built into search engines.

For feasibility reasons, Google was used as an example of a search system that can be used for carrying out social searches.

The paper provides several practical implications for web searchers as well as web designers. In particular, some recommendations are provided for the design of search engines, digital libraries and browser add‐ons.

The study demonstrates the value and power of “collective intelligence” in web search. It shows how general web searches can be enhanced through using socially enhanced web‐based tools such as social bookmarking systems, social tagging services and social media sites.

This is the first study that provides a granular analysis of the notion of social search and puts forward a taxonomy of social search. The use cases developed and reported are created based on real search topics, and show the value and validity of the approach taken.

Social bookmarking is a system which allows users to share, organise, search and manage bookmarks of web resources. However, with the rapid growth in the production of online documents, people are facing the problem of information overload. Social bookmarking web sites offer a solution to this by providing push counts, which are counts of users’ recommendations of articles, and thus indicate the popularity and interest thereof. In this way, users can use the push counts to find popular and interesting articles. A measure of popularity-based solely on push counts, however, cannot be considered a true reflection of popularity. The paper aims to discuss these issues.

In this paper, the authors propose to derive the degree of popularity of an article by considering the reputation of the users who push the article. Moreover, the authors propose a novel personalised blog article recommendation approach which combines reputation-based group popularity with content-based filtering (CBF), for the recommendation of popular blog articles which satisfy users’ personal preferences.

The experimental results show that the proposed approach outperforms conventional CBF, item-based and user-based collaborative filtering approaches. The proposed approach considering reputation-based group popularity scores on neighbouring articles indeed can improve the recommendation quality of traditional CBF method.

The recommendation approach modifies CBF method by considering the target user's group preferences, to overcome the limitation of CBF which arises from the recommending only items similar to those the user has previously liked. Users with similar article preferences (profiles) may form a group of users with similar interests. A group's preferences may also reflect an individual's preferences. The reputation-based group preferences of the target user's group can be used to complement the target user's preferences.