ACM Transactions on Information Systems
SCIE-ISI SCOPUS (1983-2023)
1046-8188
1558-2868
Mỹ
Cơ quản chủ quản: Association for Computing Machinery (ACM) , ASSOC COMPUTING MACHINERY
Lĩnh vực:
Business, Management and Accounting (miscellaneous)Information SystemsComputer Science Applications
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Các bài báo tiêu biểu
Evaluating collaborative filtering recommender systemsRecommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in evaluating collaborative filtering recommender systems: the user tasks being evaluated, the types of analysis and datasets being used, the ways in which prediction quality is measured, the evaluation of prediction attributes other than quality, and the user-based evalu... ...
Tập 22 Số 1 - Trang 5-53 - 2004
Technological framesIn this article, we build on and extend research into the cognitions and values of users and designers by proposing a systematic approach for examining the underlying assumptions, expectations, and knowledge that people have about technology. Such interpretations of technology (which we call technological frames) are central to understanding technological development, use, and change in or... ...
Tập 12 Số 2 - Trang 174-207 - 1994
gIBIS: a hypertext tool for exploratory policy discussionThis paper describes an application-specific hypertext system designed to facilitate the capture of early design deliberations. It implements a specific method, called Issue Based Information Systems (IBIS), which has been developed for use on large, complex design problems. The hypertext system described here, gIBIS (for graphical IBIS), makes use of color and a high-speed relational data... ...
Tập 6 Số 4 - Trang 303-331 - 1988
A similarity measure for indefinite rankingsRanked lists are encountered in research and daily life and it is often of interest to compare these lists even when they are incomplete or have only some members in common. An example is document rankings returned for the same query by different search engines. A measure of the similarity between incomplete rankings should handle nonconjointness, weight high ranks more heavily than low, a... ...
Tập 28 Số 4 - Trang 1-38 - 2010
Placing search in contextKeyword-based search engines are in widespread use today as a popular means for Web-based information retrieval. Although such systems seem deceptively simple, a considerable amount of skill is required in order to satisfy non-trivial information needs. This paper presents a new conceptual paradigm for performing search in context, that largely automates the search process, providing even ... ...
Tập 20 Số 1 - Trang 116-131 - 2002
An example-based mapping method for text categorization and retrievalA unified model for text categorization and text retrieval is introduced. We use a training set of manually categorized documents to learn word-category associations, and use these associations to predict the categories of arbitrary documents. Similarly, we use a training set of queries and their related documents to obtain empirical associations between query words and indexing terms of d... ...
Tập 12 Số 3 - Trang 252-277 - 1994
Query-based sampling of text databases
The proliferation of searchable text databases on corporate networks and the Internet causes a database selection problem for many people. Algorithms such as gGLOSS and CORI can automatically select which text databases to search for a given information need, but only if given a set of resource descriptions that accurately represent the contents of each database. The existing ... ...
Tập 19 Số 2 - Trang 97-130 - 2001
PocketLensRecommender systems using collaborative filtering are a popular technique for reducing information overload and finding products to purchase. One limitation of current recommenders is that they are not portable. They can only run on large computers connected to the Internet. A second limitation is that they require the user to trust the owner of the recommender with personal preference dat... ...
Tập 22 Số 3 - Trang 437-476 - 2004
Learning author-topic models from text corporaWe propose an unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a two-stage stochastic process. An author is represented by a probability distribution over topics, and each topic is represented as a probability distribution over words. The probability distribution over topics in a... ...
Tập 28 Số 1 - Trang 1-38 - 2010
Deep Item-based Collaborative Filtering for Top-N Recommendation
Item-based Collaborative Filtering
(ICF) has been widely adopted in recommender systems in industry, owing to its strength in user interest modeling and ease in online personalization. By constructing a user’s profile with the items that the user has consumed, ICF recommends items that are similar to the user’s profile. With the prevalenc... ...
Tập 37 Số 3 - Trang 1-25 - 2019