Browsing Support by Highlighting Keywords based on User's Browsing History

Query Recommendation Based on User Browsing History

The most commercial search engines return the search list by matching the user query terms with the documents available in its database. The relative effectiveness of search list is highly affected by the extent to which the query keywords map to the actual need of user. User generally forms the short, ambiguous and instant queries which lead to inclusion of irrelevant documents in the search l...

Targeted Advertising Based on Browsing History

Audience interest, demography, purchase behavior and other possible classifications are extremely important factors to be carefully studied in a targeting campaign. This information can help advertisers and publishers deliver advertisements to the right audience group. However, it is not easy to collect such information, especially for the online audience with whom we have limited interaction a...

Semantic browsing of sound databases without keywords

Context-based microblog browsing for mobile users

Mobile microblog browsing is inconvenient due to the limitations of mobile devices. Therefore, it is important to effectively retrieve relevant and timely microblog content that caters to the information need of mobile users. In this paper, we first present the findings from a large-scale study on the relationship between microblog content and user context. Then, we show a system that detects l...

Adaptive Weblog Post Filtering Based on User Browsing History

One of the most important Web-based services that established the foundations of the Web 2.0 is the weblog. Weblogs are evolving to be topic based systems that can lead to more revenue for companies. Therefore many companies provide free weblog hosting. Weblog popularity is an effective factor to gain more revenue. Weblogs have posts and topics that are arranged chronologically with the most re...