Google Scholar Research Topics and Ideas

The aim is to study search engines for web services to improve customers’ lives. Web services have restricted success in organisational environments and even less success in the competitive market. In addition, there is low precision for web services discovery utilising search engines. Search engines can provide the best results if WSDL is embedded in a web page that delivers semantic explanation of the service. Therefore, efficient ways need to be sought to change the scenario in order to seek better utilisation of general-purpose search engines for web service discovery.

The aim is to assess the relationship between clicks and relevance for analysing the performance and efficiency of search engines. The clicks received by a search engine can forecast relevance of documents. These forecasts can be utilised to analyse the search engines’ performance and efficiently which can assist in making comparisons across datasets and time. This assessment can further provide comparison between methods which can assist in developing strategies for better display of results shown for similar queries.

AIM

The aim is to examine how implicit feedback can improve search engines so that better results can be delivered. Search engines deliver a pool of information which can be analysed through implicit feedback to improve the quality of the overall search. By improving search engines through implicit feedback, search engines can easily provide results particular to users’ needs and queries. Therefore, in order to receive authentic and relevant results and in less time, implicit feedback is an efficient technique to enhance search engines’ performance and effectiveness.

AIM

The aim is to analyse strategies that can be utilised to improve web search engines. The strategies can analyse and assist in changing patterns of utilisation of search engines in terms of users’ interests. The improvement of web search engine can provide strong satisfaction to users and improve the generalisability of results. Therefore, determining effective strategies for improving web search engine can provide better results to users and improve the productivity and competence of a search engine as compared to other search engines.

AIM

Internet has become a significant repository of information. In other words, internet has become the first source for availing an information a person needs. Therefore, the aim is to compare the ways in which search engines and social networks provide information when a user searches for desired information over internet. Since, it is not easy for users to find what they need with keyword search and the desired information may not be available, therefore, here, social media acts as a substitute. It is important to examine if a social media platform fulfills the need of information the way a search engine does.

AIM

The aim is to analyse the effectiveness of search engines for search tasks given in clinical decision-making. Final year medical students and clinicians search for queries over search engines for their desired medical queries. Therefore, in order for a search engine to provide better answers, the effectiveness of search engines should be analysed for the accurate representation of web pages and documents online for the completion of the search task. Hence, the better representation of results provided by the search engines can assist clinicians in better understating the information rather than just searching for it.

AIM

Search engines should have the capability to provide the desired information accurately and relevantly as they are most often utilised with regards to their functionality of ranking. The ranking factors are categorised into six groups i.e. freshness, text statistics, popularity, availability and locality, user background and content properties. These ranking factors include potential applications best suited for search engine systems as preferences of users vary across a variety of context, therefore, ranking is for the primary benefit of the users.

AIM

The aim is to analyse the utilisation of computational engines to redevelop or reform initial queries. The reformation makes sure that results received from a search engine provide enhanced relevance to results that are relevant to initial query. In addition to this, computational engines use results of computations, history of search results, a variety of statistical and grammatical tools to recognise one or more pairs in the initial query to form subqueries. Therefore, it is important to understand computation engines as through one or more iterations, a search engine can ensure consistency of relevant results and enhance the capability to identify ranking, user intent, relevance and appropriate data domains and sources.

AIM

The aim is to examine the problems of effectiveness and proficiency when changing the query results that are submitted to a search engine. Strategies of caching can effectively exploit the spatial and temporal locality present in processed query stream. The technique of Static Dynamic Cache (SDC) can assist in extracting data from history and the results of most frequently utilised submitted queries which can anticipate future requests and assist in measuring the hit ratio accomplished. Therefore, caching and prefetching query results can efficiently exploit many queries that serve that right purposes for a variety of users.

AIM

The aim is to examine different paid placement strategies where a number of content producers are provided permanent positioning in return for a placement fee. This creates revenues, however, disutility to users is created which decreases user-based revenues. The optimal placement strategy relies on the disutility and benefits of paid placement. Therefore, it is important to compute the optimal bias level, placement fee and examine the placement strategy’s sensitivity so that negative affect on advertising revenues can be avoided. This can further increase the market share by decreasing reliance on paying providers and paid placement.